ICML2026 Notes TODO¶

Total: 1834 | Completed: 1833 | Pending: 1

3d-rft reinforcement fine-tuning for video-based 3d scene understanding | arXiv: 2603.04976
3viewsense spatial and mental perspective reasoning from orthographic views in v | arXiv: 2603.07751
4dpc2hat towards dynamic point cloud understanding with failure-aware bootstrapp | arXiv: 2602.03890
a behavioural and representational evaluation of goal-directedness in language m | arXiv: 2602.08964
a benchmark and framework for evaluating next action predictions in spreadsheets | arXiv: 2606.13802
a call to lagrangian action learning population mechanics from temporal snapshot | arXiv: 2605.08550
a deep learning model of mental rotation informed by interactive vr experiments | arXiv: 2512.13517
a diffusive classification loss for learning energy-based generative models | arXiv: 2601.21025
a formal comparison between chain of thought and latent thought | arXiv: 2509.25239
a fully first-order layer for differentiable optimization | arXiv: 2512.02494
a general framework for dynamic consistent submodular maximization | arXiv: 2606.04946
a geometric relation of the error introduced by sampling a language models outpu | arXiv: 2605.04899
a hypertoroidal covering for perfect color equivariance | arXiv: 2603.04256
a kinetic energy perspective of flow matching | arXiv: 2602.07928
a language-guided bayesian optimization for efficient lora hyperparameter search | arXiv: 2602.11171
a machine-learned comorbidity index | arXiv: 2606.17450
a minimal agent for automated theorem proving | arXiv: 2602.24273
a paired testing protocol for batch-conditioned refusal robustness in llm servin | arXiv: 2605.27763
a perturbation approach to unconstrained linear bandits | arXiv: 2603.28201
a queueing-theoretic framework for stability analysis of llm inference with kv c | arXiv: 2605.04595
a refined generalization analysis for extreme multi-class supervised contrastive | arXiv: 2605.07596
a risk decomposition framework for pre-hoc fine-tuning prediction | arXiv: 2606.17649
a semantically consistent dataset for data-efficient query-based universal sound | arXiv: 2601.22599
a systematic investigation of rl-jailbreaking in llms | arXiv: 2605.07032
a systematic study of behavioral cloning for scientific data annotation | arXiv: 2606.07568
a unified definition of hallucination its the world model stupid | arXiv: 2512.21577
a unified framework for diffusion model unlearning with f-divergence | arXiv: 2509.21167
a2sgadaptive and asymmetric surrogate gradients for training deep spiking neural | arXiv: 2606.11236
aad-1 asymmetric adversarial distillation for one-step autoregressive video gene | arXiv: 2606.03972
abc-bench an agentic bio-capabilities benchmark for biosecurity | arXiv: 2606.11150
ac-odm actor--critic online data mixing for sample-efficient llm pretraining | arXiv: 2505.23878
accelerated multiple wasserstein gradient flows for multi-objective distribution | arXiv: 2601.19220
accurate evaluation of quickest changepoint detectors via non-parametric surviva | arXiv: 2605.18798
acon optimizing context compression for long-horizon llm agents | arXiv: 2510.00615
actg-arl differentially private conditional text generation with rl-boosted cont | arXiv: 2510.18232
activation-free backbones for image recognition polynomial alternatives within m | arXiv: 2605.20839
active budget allocation for efficient scaling law estimation via surrogate-guid | arXiv: 2605.17234
active continual learning with metaplastic binary bayesian neural networks | arXiv: 2605.30198
active exploring like a pigeon reinforcing spatial reasoning via agentic vision- | arXiv: 2606.02459
active learning with foundation model priors efficient learning under class imba | arXiv: 2606.07630
active learning with low-rank structure for data selection | arXiv: 2606.16045
active tabular augmentation via policy-guided diffusion inpainting | arXiv: 2605.10315
active timepoint selection for learning measure-valued trajectories | arXiv: 2605.30625
active-o3 empowering mllms with active perception via pure reinforcement learnin | arXiv: 2505.21457
adaeraser training-free object removal via adaptive attention suppression | arXiv: 2605.15921
adagc enhancing llm pretraining stability via adaptive gradient clipping | arXiv: 2502.11034
adamem test-time adaptive memory for language agents | arXiv: 2606.05684
adapting noise to data generative flows from 1d processes | arXiv: 2510.12636
adaptive bandit algorithms for contextual matching markets | arXiv: 2605.28290
adaptive estimation and inference in semi-parametric heterogeneous clustered mul | arXiv: 2605.01907
adaptive multi-round allocation with stochastic arrivals | arXiv: 2605.12111
adaptive preconditioners trigger loss spikes in adam | arXiv: 2506.04805
adaptive probe-based steering for robust llm jailbreaking | arXiv: 2605.20286
adaptive querying with ai persona priors | arXiv: 2605.00696
adaptive residual-update steering for low-overhead hallucination mitigation in l | arXiv: 2511.10292
adaptive sharpness-aware minimization with a polyak-type step size a theory-grou | arXiv: 2606.01827
adaptive time series reasoning via segment selection | arXiv: 2602.18645
adaptive volumetric mechanical property fields invariant to resolution | arXiv: 2606.18231
advancing ligand-based virtual screening and molecular generation with pretraine | arXiv: 2604.24474
advantage collapse in group relative policy optimization diagnosis and mitigatio | arXiv: 2605.21125
adversarial flow models | arXiv: 2511.22475
adversarially robust approximate furthest neighbor | arXiv: 2605.16618
aesformer transform everyday photos into beautiful memories | arXiv: 2605.22126
ag-repa causal layer selection for representation alignment in audio flow matchi | arXiv: 2603.01006
agent jit compilation for latency-optimizing web agent planning and scheduling | arXiv: 2605.21470
agent learning via early experience | arXiv: 2510.08558
agent world model infinity synthetic environments for agentic reinforcement lear | arXiv: 2602.10090
agent-omit adaptive context omission for efficient llm agents | arXiv: 2602.04284
agenthijack benchmarking computer use agent robustness to common environment cor | arXiv: 2605.25707
agentic monte carlo simulating reinforcement learning for black-box agents | arXiv: 2606.05296
agentxray white-boxing agentic systems via workflow reconstruction | arXiv: 2602.05353
agzo activation-guided zeroth-order optimization for llm fine-tuning | arXiv: 2601.17261
ai alignment encompasses competing technical priorities | arXiv: 2606.14315
ai cap-and-trade efficiency incentives for accessibility and sustainability | arXiv: 2601.19886
ai engram in search of memory traces in artificial intelligence | arXiv: 2606.14997
ai researchers must help lead arms control to mitigate military ai risks | arXiv: 2606.11533
ai4slt empirical processes in lean 4 for formal statistical learning theory | arXiv: 2602.02285
aitchison embeddings for learning compositional graph representations | arXiv: 2605.00716
alethia a foundational encoder for voice deepfakes | arXiv: 2605.00251
algorithmic recourse of in-context learning for tabular data | arXiv: 2605.31272
algoveri an aligned benchmark for verified code generation on classical algorith | arXiv: 2602.09464
aligning tree-search policies with fixed token budgets in test-time scaling of l | arXiv: 2602.09574
alignment risks from capability-seeking rl training | arXiv: 2602.12124
alignment tampering how reinforcement learning from human feedback is exploited | arXiv: 2605.27355
alignment-aware decoding | arXiv: 2509.26169
alignment-guided score matching for text-to-image alignment in diffusion models | arXiv: 2605.30038
alimark enhancing robustness of sentence-level watermarking against text paraphr | arXiv: 2605.29434
all circuits lead to rome rethinking functional anisotropy in circuit and sheaf | arXiv: 2605.12671
also adversarial online strategy optimization for social agents | arXiv: 2605.15768
alterbute editing intrinsic attributes of objects in images | arXiv: 2601.10714
amdp asynchronous multi-directional pipeline parallelism for large-scale models | arXiv: 2605.29664
amortized simulation-based inference in generalized bayes via neural posterior e | arXiv: 2601.22367
an algebraic view of the expressivity of recurrent language models | arXiv: 2606.01765
an approximation algorithm for graph label selection | arXiv: 2605.18623
an exterior method for nonnegative matrix factorization | arXiv: 2605.19325
an information-theoretic criterion for efficient data synthesis | arXiv: 2605.16379
an odd estimator for shapley values | arXiv: 2602.01399
analytic bijections for smooth and interpretable normalizing flows | arXiv: 2601.10774
anchor abductive network construction with hierarchical orchestration for reliab | arXiv: 2605.10328
anchor-guided hypergraph condensation with dual-level discrimination | arXiv: 2605.10001
anchored decoding provably reducing copyright risk for any language model | arXiv: 2602.07120
angel or demon investigating the plasticity interventions impact on backdoor thr | arXiv: 2605.14587
annotations mitigate post-training mode collapse | arXiv: 2605.09995
anomaly-preference image generation | arXiv: 2605.02439
anomseer reinforcing multimodal llms to reason for time-series anomaly detection | arXiv: 2602.08868
answer only as precisely as justified calibrated claim-level specificity control | arXiv: 2604.17487
antic adaptive neural temporal in-situ compressor | arXiv: 2604.09543
antidistillation fingerprinting | arXiv: 2602.03812
any2any unified arbitrary modality translation for remote sensing | arXiv: 2603.04114
any3d-vla enhancing vla robustness via diverse point clouds | arXiv: 2602.00807
anyedit adaptive long-form knowledge editing via bayesian surprise | arXiv: 2606.01053
anymod-llve low-light video enhancement with modality-agnostic inference | arXiv: 2606.11186
aoept breaking the implicit modality-reduction bottleneck in modality-missing pr | arXiv: 2605.24816
arcvq-vae a spherical vector quantization framework with arccosine additive marg | arXiv: 2605.13517
are common substructures transferable riemannian graph foundation model with neu | arXiv: 2606.03270
are large reasoning models interruptible | arXiv: 2510.11713
are tools always beneficial learning to invoke tools adaptively for dual-mode mu | arXiv: 2605.19852
are vlms seeing or just saying uncovering the illusion of visual re-examination | arXiv: 2605.15864
are we overconfident in models and results for semi-supervised 3d medical image | arXiv: 2605.25561
area attribute extraction and aggregation for clip-based class-incremental learn | arXiv: 2605.28809
asap exploiting the satisficing generalization edge in neural combinatorial opti | arXiv: 2501.17377
asymmetric perturbation in solving bilinear saddle-point optimization | arXiv: 2506.05747
asymptotic optimality of the high-dimensional gaussian mechanism and improved lo | arXiv: 2606.08681
ateliereval agentic evaluation of humans llms as text-to-image prompters | arXiv: 2605.22645
attend to anything foundation model for unified human attention modeling | arXiv: 2606.03540
attention illuminates llm reasoning the preplan-and-anchor rhythm enables fine-g | arXiv: 2510.13554
attention sparsity is input-stable training-free sparse attention for video gene | arXiv: 2603.18636
auditing and fixing economic validity in tabular foundation models for discrete | arXiv: 2605.26559
auditing sybil explaining deep lung cancer risk prediction through generative in | arXiv: 2602.02560
authority truth and citation bias a large-scale multi-domain benchmark for study | arXiv: 2606.13104
autobaxbuilder bootstrapping code security benchmarking | arXiv: 2512.21132
automated formal proofs of combinatorial identities via wilf-zeilberger guidance | arXiv: 2605.04472
automatic layer selection for hallucination detection | arXiv: 2605.26366
automatic unsupervised ensemble outlier model selection--extended version | arXiv: 2605.16567
autonumerics-zero automated discovery of state-of-the-art mathematical functions | arXiv: 2312.08472
autoregressive direct preference optimization | arXiv: 2602.09533
autorpa efficient gui automation through llm-driven code synthesis from interact | arXiv: 2605.21082
avatar learning to align via active optimal transport | arXiv: 2605.24395
avi-bench toward human-like audio-visual intelligence of omni-mllms | arXiv: 2606.07643
avtrack audio-visual tracking in human-centric complex scenes | arXiv: 2606.02724
bad seeing or bad thinking rewarding perception for vision-language reasoning | arXiv: 2605.14054
balanced lora removing parameter invariance to accelerate convergence | arXiv: 2605.31484
balancing fidelity and diversity in diffusion models via symmetric attention dec | arXiv: 2605.27476
balancing learning rates across layers exact two-step dynamics and optimal scali | arXiv: 2606.00340
ballast bayesian active learning with look-ahead amendment for sea-drifter traje | arXiv: 2509.26005
bandit social learning with exploration episodes | arXiv: 2602.05835
barriers to counterfactual credit attribution for autoregressive models | arXiv: 2605.01425
bayesian gated non-negative contrastive learning | arXiv: 2605.28441
bayesian tensor decomposition with diffusion model prior | arXiv: 2606.03212
benchmarking and enhancing vlm for compressed image understanding | arXiv: 2512.20901
benchmarks for vision-language models in urban perception should be reliability- | arXiv: 2606.00871
bespoke benchmark for search-augmented large language model personalization via | arXiv: 2509.21106
beyond additive decompositions interpretability through separability | arXiv: 2605.31200
beyond classification a cough regression benchmark for respiratory acoustic foun | arXiv: 2606.15436
beyond detection a structure-aware framework for scene text tracking | arXiv: 2605.17270
beyond distribution estimation simplex anchored structural inference towards uni | arXiv: 2605.07557
beyond extrapolation knowledge utilization paradigm with bidirectional inspirati | arXiv: 2605.19249
beyond generative priors minority sampling with jepa-guided diffusion | arXiv: 2605.24631
beyond log likelihood probability-based objectives for supervised fine-tuning ac | arXiv: 2510.00526
beyond model base retrieval weaving knowledge to master fine-grained neural netw | arXiv: 2507.15336
beyond model readiness institutional readiness for ai deployment in public syste | arXiv: 2605.17203
beyond procedure substantive fairness in conformal prediction | arXiv: 2602.16794
beyond scalar rewards dense feedback for llm policy synthesis in sequential soci | arXiv: 2603.19453
beyond structural symmetries linear mode connectivity via neuron identifiability | arXiv: 2606.04754
beyond sunk costs boosting llm pre-training efficiency via orthogonal growth of | arXiv: 2510.08008
beyond temperature hyperfitting as a late-stage geometric expansion | arXiv: 2605.22579
beyond test-time memory state-space optimal control for llm reasoning | arXiv: 2603.09221
beyond the proxy trajectory-distilled guidance for offline gflownet training | arXiv: 2505.20110
beyond tokens enhancing rtl quality estimation via structural graph learning | arXiv: 2508.18730
beyond trajectory-level attribution graph-based credit assignment for agentic re | arXiv: 2605.26684
beyond two-stage training cooperative sft and rl for llm reasoning | arXiv: 2509.06948
beyond vlm-based rewards diffusion-native latent reward modeling | arXiv: 2602.11146
biases in the blind spot detecting what llms fail to mention | arXiv: 2602.10117
bilevel optimization over saddle points of zero-sum markov games | arXiv: 2605.26654
bioagent bench an ai agent evaluation suite for bioinformatics | arXiv: 2601.21800
bioarc discovering optimal neural architectures for biological foundation models | arXiv: 2512.00283
black-box detection of llm-generated text using generalized jensen-shannon diver | arXiv: 2510.07500
blending supervised and reinforcement fine-tuning with prefix sampling | arXiv: 2507.01679
blitzrank principled zero-shot ranking agents with tournament graphs | arXiv: 2602.05448
block-em preventing emergent misalignment via latent blocking | arXiv: 2602.00767
boostapr boosting automated program repair via execution-grounded reinforcement | arXiv: 2605.09134
boosting direct preference optimization with penalization | arXiv: 2606.12505
bootstrap your generator unpaired visual editing with flow matching | arXiv: 2606.03911
bounded hyperbolic tangent a stable and efficient alternative to pre-layer norma | arXiv: 2601.09719
break the block dynamic-size reasoning blocks for diffusion large language model | arXiv: 2605.02263
breaking dual bottlenecks evolving unified multimodal models into self-adaptive | arXiv: 2605.14709
breaking the lock-in diversifying text-to-image generation via representation mo | arXiv: 2606.06813
breaking the moe llm trilemma dynamic expert clustering with structured compress | arXiv: 2510.02345
breaking the simplification bottleneck in amortized neural symbolic regression | arXiv: 2602.08885
bregman meets lévy stochastic mirror descent with heavy-tailed noise in continuo | arXiv: 2606.03769
bridging creative intent and visual quality creator-driven recurrent video gener | arXiv: 2606.18591
bridging functional correctness and runtime efficiency gaps in llm-based code tr | arXiv: 2606.17683
bridging the knowledge-prediction gap in llms on multiple-choice questions | arXiv: 2509.23782
budget-constrained step-level diffusion caching | arXiv: 2606.13496
budget-feasible mechanisms for submodular welfare maximization in procurement au | arXiv: 2605.00411
buildarena a physics-aligned interactive benchmark of llms for engineering const | arXiv: 2510.16559
building reliable long-form generation via hallucination rejection sampling | arXiv: 2606.03628
building social world models with large language models | arXiv: 2606.11482
bulk-calibrated credal ambiguity sets fast tractable decision making under out-o | arXiv: 2601.21324
bullet trains parallelizing training of temporally precise spiking neural networ | arXiv: 2603.13283
byorn bootstrap your own responses to defend large vision-language models agains | arXiv: 2606.02947
calibrated multimodal representation learning with missing modalities | arXiv: 2511.12034
calibrating uncertainty for zero-shot adversarial clip | arXiv: 2512.12997
calibration of structured ignorance certificates for diagnosing unknown unknowns | arXiv: 2606.08571
camel confidence-gated reflection for reward modeling | arXiv: 2602.20670
camgeo sparse camera-conditioned image-to-video generation with 3d geometry prio | arXiv: 2605.30895
can adaptive gradient methods converge under heavy-tailed noise a case study of | arXiv: 2605.18694
can large language models generalize procedures across representations | arXiv: 2602.03542
can local learning match self-supervised backpropagation | arXiv: 2601.21683
can recommender systems teach themselves a recursive self-improving framework wi | arXiv: 2602.15659
capbencher give your llm benchmark a built-in alarm for test-set overfitting | arXiv: 2505.18102
capturing gaze shifts for guidance cross-modal fusion enhancement for vlm halluc | arXiv: 2510.22067
caracal causal architecture via spectral mixing | arXiv: 2605.00292
card coarse-to-fine autoregressive modeling with radix-based decomposition for t | arXiv: 2605.02657
care class-adaptive expert consensus for reliable learning with long-tailed nois | arXiv: 2605.23254
cascade conformal prediction uncertainty-adaptive prediction intervals for two-s | arXiv: 2605.20468
cascaded flow matching for heterogeneous tabular data with mixed-type features | arXiv: 2601.22816
catastrophic forgetting is low-rank a function-space theory for continual adapta | arXiv: 2606.18024
causal fine-tuning under latent confounded shift | arXiv: 2410.14375
causal forcing autoregressive diffusion distillation done right for high-quality | arXiv: 2602.02214
causal modeling of selection in evolution | arXiv: 2606.05689
causal-jepa learning world models through object-level latent masking | arXiv: 2602.11389
cb-slice concept-based interpretable error slice discovery | arXiv: 2605.29836
centaureval benchmarking human-in-the-loop value in agentic coding | arXiv: 2512.04111
certified circuits stability guarantees for mechanistic circuits | arXiv: 2602.22968
certified robustness under heterogeneous perturbations via hybrid randomized smo | arXiv: 2605.12876
cg-mllm captioning and generating 3d content via multi-modal large language mode | arXiv: 2601.21798
chain-of-thought reasoning in the wild is not always faithful | arXiv: 2503.08679
characterizing the effect of noise in language generation in the limit | arXiv: 2601.21237
chebyshev policies and the mountain car problem reinforcement learning for low-d | arXiv: 2605.22305
circle-rope cone-like decoupled rotary positional embedding for large vision-lan | arXiv: 2505.16416
circuit fingerprints how answer tokens encode their geometrical path | arXiv: 2602.09784
circuit tracing in autoregressive protein language models | arXiv: 2606.16044
claritree cholesky and lookahead accelerations for regression with interpretable | arXiv: 2606.12840
clear context-aware learning with end-to-end mask-free inference for adaptive vi | arXiv: 2603.21901
clintutor-r1 advancing scalable and robust one-to-many alignment in clinical soc | arXiv: 2512.05671
clip tricks you training-free token pruning for efficient pixel grounding in lar | arXiv: 2605.13178
closing the feedback loop from experience extraction to insight governance in ve | arXiv: 2606.17591
closing the loop pid feedback control for interpretable activation steering in s | arXiv: 2606.18790
clove personalized federated learning through clustering of loss vector embeddin | arXiv: 2506.22427
clustering as reasoning a k-means interpretation of chain-of-thought graph learn | arXiv: 2605.24867
cmi-rewardbench evaluating music reward models with compositional multimodal ins | arXiv: 2603.00610
coarse-grained boltzmann generators | arXiv: 2602.10637
cocoedit content-consistent image editing via region regularized reinforcement l | arXiv: 2602.14068
cocoreviewbench a completeness- and correctness-oriented benchmark for ai review | arXiv: 2605.07905
coda-bench can code agents handle data-intensive tasks | arXiv: 2606.15300
coevolutionary continuous discrete diffusion make your diffusion language model | arXiv: 2510.03206
cofrgenet continued fraction architectures for language generation | arXiv: 2601.21766
coft counterfactual-conformal decoding for fair chain-of-thought reasoning in la | arXiv: 2605.30641
cognitive fatigue in autoregressive transformers formalization and measurement | arXiv: 2605.30981
coirl-ad collaborative-competitive imitation-reinforcement learning in latent wo | arXiv: 2510.12560
collabbench benchmarking and unleashing collaborative ability of llms with diver | arXiv: 2606.05793
collie guiding skill discovery in semantically coherent latent space | arXiv: 2606.00950
colorful pinball density-weighted quantile regression for conditional guarantee | arXiv: 2512.24139
coloring the noise adversarial sobolev alignment for faithful image super resolu | arXiv: 2605.23264
combinationts a modular framework for understanding time-series forecasting mode | arXiv: 2605.01231
complexity as advantage a regret-based perspective on emergent structure | arXiv: 2511.04590
compositional consistency-guided decoding for three-way logical question answeri | arXiv: 2604.06196
compositional generative modeling from decentralized data | arXiv: 2606.10153
compositional transduction with latent analogies for offline goal-conditioned re | arXiv: 2605.20609
comprehensive ai governance requires addressing non-model gains | arXiv: 2606.00047
compress then merge from multiple loras into one low-rank adapter | arXiv: 2606.03723
compression as adaptation implicit visual representation with diffusion foundati | arXiv: 2603.07615
compute as teacher turning inference compute into reference-free supervision | arXiv: 2509.14234
conditional diffusion sampling | arXiv: 2605.04013
conditional krr injecting unpenalized features into kernel methods with applicat | arXiv: 2605.26067
conditionally site-independent neural evolution of antibody sequences | arXiv: 2602.18982
conf-gen conformal uncertainty quantification for generative models | arXiv: 2605.28920
conflict-aware additive guidance for flow models under compositional rewards | arXiv: 2605.20758
conflicting biases at the edge of stability norm versus sharpness regularization | arXiv: 2505.21423
conformal reliability a new evaluation metric for conditional generation | arXiv: 2605.30807
conformal thinking risk control for reasoning on a compute budget | arXiv: 2602.03814
connecting independently trained modes via layer-wise connectivity | arXiv: 2505.02604
conservation laws for modern neural architectures | arXiv: 2606.17816
consistency training can entrench misalignment | arXiv: 2606.03810
consistent diffusion language models | arXiv: 2605.00161
constitutional black-box monitoring for scheming in llm agents | arXiv: 2603.00829
constrained bayesian experimental design via online planning | arXiv: 2605.26990
constrained flow optimization via sequential fine tuning for molecular design | arXiv: 2605.30610
constrained multi-objective reinforcement learning with max-min criterion | arXiv: 2605.31388
content-style identification via differential independence | arXiv: 2605.17827
context-driven incremental compression for multi-turn dialogue generation | arXiv: 2606.12411
contextualized visual personalization in vision-language models | arXiv: 2602.03454
continual learning of domain-invariant representations | arXiv: 2605.15775
continual model routing in evolving model hubs | arXiv: 2605.28577
contrastive representation regularization for vision-language-action models | arXiv: 2510.01711
contrastive spectral rectification test-time defense towards zero-shot adversari | arXiv: 2601.19210
controllable generative sandbox for causal inference | arXiv: 2603.03587
controlling the risk of corrupted contexts for language models via early-exiting | arXiv: 2510.02480
convergence of steepest descent and adam under non-uniform smoothness | arXiv: 2605.30648
convergence of two-timescale markovian stochastic approximations with applicatio | arXiv: 2605.31172
convex basins in single-index model loss landscapes applications to robust recov | arXiv: 2605.29497
convex distance operator transport a convex and geometry-preserving formulation | arXiv: 2606.02047
copf an online framework for deployment-stable counterfactual fairness in evolvi | arXiv: 2606.00700
core conflict-oriented reasoning for general multimodal manipulation detection | arXiv: 2606.03066
core-mtl rethinking gradient balancing via causal orthogonal representations | arXiv: 2606.02221
correcting prompt dependence in llm benchmarks a bayesian hierarchical model wit | arXiv: 2510.05709
correcting split selection in online decision trees via anytime-valid inference | arXiv: 2605.31239
corrsteer generation-time llm steering via correlated sparse autoencoder feature | arXiv: 2508.12535
cost-aware stopping for bayesian optimization | arXiv: 2507.12453
counterfactual transport flows for offline conservative trajectory refinement | arXiv: 2606.09115
countsdiff a diffusion model on the natural numbers for generation and imputatio | arXiv: 2604.03779
coupled training with privileged information and unlabeled data | arXiv: 2605.23268
coupled variational reinforcement learning for language model general reasoning | arXiv: 2512.12576
courtroom analogy new perspective on uncertainty-aware classification | arXiv: 2605.25616
cpmobius iterative coach-player reasoning for data-free reinforcement learning | arXiv: 2602.02979
creative collision directorial persona steering and competition in large languag | arXiv: 2606.16240
crispedit low-curvature projections for scalable non-destructive llm editing | arXiv: 2602.15823
criticalkv optimizing kv cache eviction from an output perturbation perspective | arXiv: 2502.03805
critique-grpo advancing llm reasoning with natural language and numerical feedba | arXiv: 2506.03106
critique-guided distillation for robust reasoning via refinement | arXiv: 2505.11628
cross-chirality generalization by axial vectors for hetero-chiral protein-peptid | arXiv: 2602.20176
cspo constraint-sensitive policy optimization for safe reinforcement learning | arXiv: 2606.14415
culturally-adapted red-teaming across east and southeast asian contexts a method | arXiv: 2606.09178
curriculum learning for safety alignment | arXiv: 2605.26315
cutting llm evaluation costs with sysrs a bandit algorithm that provably exploit | arXiv: 2606.07726
cvsearch empowering multimodal llms with cognitive visual search for high-resolu | arXiv: 2605.23655
cybergym-e2e scalable real-world benchmark for ai agents end-to-end cybersecurit | arXiv: 2606.04460
cyberjurors a multi-agent simulation task for e-commerce disputes verdict | arXiv: 2605.28369
d2 improving reasoning in diffusion language models via trajectory likelihood es | arXiv: 2509.21474
d2evo dual difficulty-aware self-evolution for data-efficient reinforcement lear | arXiv: 2605.17037
dag a dual correlation network for time series forecasting with exogenous variab | arXiv: 2509.14933
dag-moe from simple mixture to structural aggregation in mixture-of-experts | arXiv: 2606.01062
dapd dependency-aware parallel decoding via attention for diffusion llms | arXiv: 2603.12996
darts distribution-aware active rollout trajectory shaping for accelerating llm | arXiv: 2605.30859
data augmentation of contrastive learning is estimating positive-incentive noise | arXiv: 2408.09929
data difficulty and the generalization--extrapolation tradeoff in llm fine-tunin | arXiv: 2605.12906
data- and variance-dependent regret bounds for online tabular mdps | arXiv: 2602.01903
dcer dual-stage compression and energy-based reconstruction | arXiv: 2602.04904
debate with images detecting deceptive behaviors in multimodal large language mo | arXiv: 2512.00349
debiased model-based representations for sample-efficient continuous control | arXiv: 2605.11711
decentralized instruction tuning conflict-aware splitting and weight merging | arXiv: 2606.01717
decepchain inducing deceptive reasoning in large language models | arXiv: 2510.00319
decision tree learning on product spaces | arXiv: 2605.12983
decompose and recompose reasoning new skills from existing abilities for cross-t | arXiv: 2605.01448
decompose structure and repair a neuro-symbolic framework for autoformalization | arXiv: 2604.19000
decomposed on-policy distillation for vision-language reasoning steering gradien | arXiv: 2606.00564
decomposing the basic abilities of large language models mitigating cross-task i | arXiv: 2605.05676
decouple searching from training scaling data mixing via model merging for large | arXiv: 2602.00747
decoupled conformal optimisation efficient prediction sets via independent tunin | arXiv: 2605.18354
decoupled training with local reinforcement fine-tuning in federated learning | arXiv: 2605.27900
decoupling reasoning and confidence resurrecting calibration in reinforcement le | arXiv: 2603.09117
decoupling skeleton and flesh efficient multimodal table reasoning with disentan | arXiv: 2602.03491
decoupling the what and where with polar coordinate positional embeddings | arXiv: 2509.10534
deep networks learn to parse uniform-depth context-free languages from local sta | arXiv: 2602.06065
deep neural sheaf diffusion | arXiv: 2605.19021
deep pre-alignment for vlms | arXiv: 2605.15300
deep residual injection for full-spectrum forensic signal perception in multimod | arXiv: 2606.15880
deep sequence models tend to memorize geometrically it is unclear why | arXiv: 2510.26745
deepsight long-horizon world modeling via latent states prediction for end-to-en | arXiv: 2605.10564
degradation-aware metric prompting for hyperspectral image restoration | arXiv: 2512.20251
dei diversity in evolutionary inference for quality-diversity search | arXiv: 2605.27130
delayed momentum aggregation communication-efficient byzantine-robust federated | arXiv: 2509.02970
deliberate evolution agentic reasoning for sample-efficient symbolic regression | arXiv: 2606.04360
demystifying multimodal biomolecular co-design with intrinsic geodesic coupling | arXiv: 2606.01628
demystifying the optimal fair classifier in multi-class classification | arXiv: 2606.00656
demystifying when pruning works via representation hierarchies | arXiv: 2603.24652
densemllm standard multimodal llms for dense prediction | arXiv: 2602.14134
densesteer steering small language models towards dense math reasoning | arXiv: 2605.29247
density-aware translation of spurious correlations in zero-shot vlms | arXiv: 2606.01710
density-guided robust counterfactual explanations on tabular data under model mu | arXiv: 2605.30901
depth over fidelity in fixed-budget noisy evolution strategies | arXiv: 2606.06555
detached skip-links and r-probe decoupling feature aggregation from gradient pro | arXiv: 2603.20020
detecting fluent optimization-based adversarial prompts via sequential entropy c | arXiv: 2605.19966
dflash block diffusion for flash speculative decoding | arXiv: 2602.06036
dfsattn dynamic fine-grained sparse attention for efficient video generation | arXiv: 2605.23445
dgmark decoding-guided watermarking for diffusion language models | arXiv: 2601.22985
dgs-net distillation-guided gradient surgery for clip fine-tuning in ai-generate | arXiv: 2511.13108
diagnosing and correcting concept omission in multimodal diffusion transformers | arXiv: 2605.14270
diagnosing multi-step reasoning failures in black-box llms via stepwise confiden | arXiv: 2605.19228
diagnosing the reliability of llm-as-a-judge via item response theory | arXiv: 2602.00521
different layers different manifolds module-wise weight-space geometry in transf | arXiv: 2606.13276
differential syntactic and semantic encoding in llms | arXiv: 2601.04765
differentially private preference data synthesis for large language model alignm | arXiv: 2605.30808
differentially private submodular maximization with a knapsack constraint | arXiv: 2606.14951
diffusion differentiable resampling | arXiv: 2512.10401
diffusion language model parallel decoding via product-of-experts bridge | arXiv: 2606.08048
diffusion models are statistically optimal for learning low-dimensional multi-mo | arXiv: 2605.30153
dimension-free multimodal sampling via preconditioned annealed langevin dynamics | arXiv: 2605.30396
dimensionality controls when modularity helps in continual learning | arXiv: 2606.17889
direct 3d-aware object insertion via decomposed visual proxies | arXiv: 2606.06601
directedit step-level accurate inversion for flow-based image editing | arXiv: 2605.02417
direction-conditioned policies via compositional subgoal scoring for online goal | arXiv: 2606.16515
disco mitigating bias in deep learning with conditional distance correlation | arXiv: 2506.11653
discoforcing a unified framework for real-time audio-driven character control wi | arXiv: 2605.28491
discoformer plug-in density and score estimation with transformers | arXiv: 2511.05924
discontinuous galerkin neural operator for pathology defocus deblurring | arXiv: 2605.23282
discovering differences in strategic behavior between humans and llms | arXiv: 2602.10324
discovering implicit large language model alignment objectives | arXiv: 2602.15338
discovering interpretable algorithms by decompiling transformers to rasp | arXiv: 2602.08857
discovering ordinary differential equations with llm-based qualitative and quant | arXiv: 2605.07323
discoverllm from executing intents to discovering them | arXiv: 2602.03429
discrete diffusion samplers and bridges off-policy algorithms and applications i | arXiv: 2602.05961
discrete diffusion vla bringing discrete diffusion to action decoding in vision- | arXiv: 2508.20072
disentangling direction and magnitude in transformer representations a double di | arXiv: 2602.11169
disentangling latent risk pathways via bayesian hypergraph inference | arXiv: 2606.07677
disjunctivenet neural symbolic learning via differentiable convexified optimizat | arXiv: 2605.30456
dispersion loss counteracts embedding condensation and improves generalization i | arXiv: 2602.00217
dissect and prune enhancing robustness in ai-generated image detection | arXiv: 2606.10309
dissecting embodied abilities in multimodal language models through skill-level | arXiv: 2510.08759
dissecting multimodal in-context learning modality asymmetries and circuit dynam | arXiv: 2601.20796
distilling linearized behavior into non-linear fine-tuning for effective task ar | arXiv: 2605.18993
distilling neuro-symbolic programs into 3d multi-modal llms | arXiv: 2606.01215
distmatch adaptive binning via distribution matching for robust sequential confo | arXiv: 2606.00690
distribution alignment for one-shot federated learning via optimal transport | arXiv: 2606.16655
distribution transformers fast approximate bayesian inference with on-the-fly pr | arXiv: 2502.02463
distribution-free uncertainty quantification for continuous ai agent evaluation | arXiv: 2605.19779
distributional inverse reinforcement learning | arXiv: 2510.03013
distributional open-ended evaluation of llm cultural value alignment based on va | arXiv: 2604.06210
diva harnessing the representation divergence in unified multimodal models for m | arXiv: 2605.25328
dive into the scene breaking the perceptual bottleneck in vision-language decisi | arXiv: 2606.04046
diverdiving deeper into distilled data via expressive semantic recovery | arXiv: 2605.12649
diversity matters revisiting test-time compute in vision-language models | arXiv: 2605.30713
diversity over frequency rethinking tool use in visual chain-of-thought agents | arXiv: 2606.00096
diversity-driven offline multi-objective optimization via nested pareto set lear | arXiv: 2606.15115
divide and conquer reliable multi-view evidential learning for deepfake detectio | arXiv: 2606.01885
divide and contrast learning robust temporal features without augmentation | arXiv: 2605.21241
divide-and-denoise a game-theoretic method for fairly composing diffusion models | arXiv: 2606.14756
diyhealth suite dataset model and benchmark for health management at home | arXiv: 2606.07542
dllm-cache accelerating diffusion large language models with adaptive caching | arXiv: 2506.06295
dllm-jepa joint embedding predictive architectures for masked diffusion language | arXiv: 2606.00091
dlo-lab benchmarking deformable linear object manipulations with differentiable | arXiv: 2606.04206
dnachunker learnable tokenization for dna language models | arXiv: 2601.03019
do activation verbalization methods convey privileged information | arXiv: 2509.13316
do audio llms listen or read analyzing and mitigating paralinguistic failures wi | arXiv: 2605.27772
do text edits generalize to visual generation benchmarking cross-modal knowledge | arXiv: 2606.00477
do time series foundation model benchmarks hide regime-dependent failures eviden | arXiv: 2606.18367
do transformers need three projections systematic study of qkv variants | arXiv: 2606.04032
does ai reviewer see the full picture attacking and defending multimodal peer re | arXiv: 2606.12716
does persona make llms k-pop fans a pilot study of llm-based online concert audi | arXiv: 2606.07837
dont ignore the tail decoupling top-k probabilities for efficient language model | arXiv: 2602.20816
dot-moe differentiable optimal transport for moefication | arXiv: 2606.01666
doubly outlier-robust online infinite hidden markov model | arXiv: 2604.14322
dp-kfc data-free preconditioning for privacy-preserving deep learning | arXiv: 2605.13418
dr tulu reinforcement learning with evolving rubrics for deep research | arXiv: 2511.19399
drift is a sampling error snr-aware power distributions for long-horizon robotic | arXiv: 2605.09537
drive distributional and retrieval-augmented bidding with value evaluation | arXiv: 2606.14192
dropout universality scaling laws and optimal scheduling at the edge-of-chaos | arXiv: 2605.21648
dsl-topic improving topic modeling by distilling soft labelsfrom language models | arXiv: 2602.17907
dtkg dual-track knowledge graph-verified reasoning framework for multi-hop qa | arXiv: 2510.16302
dual advantage fields | arXiv: 2606.04188
dual mechanisms of value expression intrinsic vs prompted values in large langua | arXiv: 2509.24319
dual quaternion se3 synchronization with recovery guarantees | arXiv: 2602.00324
dual-branch robust unlearnable examples | arXiv: 2605.01718
dual-stream diffusion for world-model augmented vision-language-action model | arXiv: 2510.27607
dualoptim bridging shared and decoupled optimizer states for better machine unle | arXiv: 2605.21539
dycon dynamic reasoning control via evolving difficulty modeling | arXiv: 2606.07108
dyllm efficient diffusion llm inference via saliency-based token selection and p | arXiv: 2603.08026
dynamic linear attention | arXiv: 2606.10650
dynamic tmoe a drift-aware dynamic mixture of experts framework for non-stationa | arXiv: 2605.20678
dynamics and representation structure of local approximations to gradient-based | arXiv: 2606.00243
dynamics within latent chain-of-thought an empirical study of causal structure | arXiv: 2602.08783
dynatok token-based 4d reconstruction from partial point clouds | arXiv: 2606.12189
eapo enhancing policy optimization with on-demand expert assistance | arXiv: 2509.23730
earl towards a unified analysis-guided reinforcement learning framework for egoc | arXiv: 2605.14742
early decisions matter proximity bias and initial trajectory shaping in non-auto | arXiv: 2604.10567
easier to judge than to find predicting in-context learning success for demonstr | arXiv: 2605.18512
eca efficient continual alignment for open-ended image-to-text generation | arXiv: 2606.12633
ecg-r1 protocol-guided and modality-agnostic mllm for reliable ecg interpretatio | arXiv: 2602.04279
echorl reinforcement learning via rollout echoing | arXiv: 2605.31228
ecsel explainable classification via signomial equation learning | arXiv: 2601.21789
edit-based refinement for parallel masked diffusion language models | arXiv: 2605.09603
edumirror modeling educational social dynamics with value-driven multi-agent sim | arXiv: 2606.07948
eeg-based multimodal learning via hyperbolic mixture-of-curvature experts | arXiv: 2604.12579
effective model pruning measure the redundancy of model components | arXiv: 2509.25606
efficient dp-sgd for llms with randomized clipping | arXiv: 2605.24879
efficient learned image compression without entropy coding | arXiv: 2605.23323
efficient learning of deep state space models via importance smoothing | arXiv: 2605.21108
efficient preference poisoning attack on offline rlhf | arXiv: 2605.02495
efficient reasoning with hidden thinking | arXiv: 2501.19201
efficient skill grounding via code refactoring with small language models | arXiv: 2606.07999
efficient stochastic optimisation via sequential monte carlo | arXiv: 2601.22003
efficient training-free multi-token prediction via embedding-space probing | arXiv: 2603.17942
efficient validation-free intrinsic quality estimation for large-scale face reco | arXiv: 2605.29720
efficiently learning drifting halfspaces with massart noise | arXiv: 2606.11149
ekka automated diagnosis of silent errors in llm inference | arXiv: 2606.04594
ellipsoidal time series forecasting | arXiv: 2505.17370
embedding hybrid systems into continuous latent vector fields | arXiv: 2606.10596
embedding-perturbed exploration preference optimization for flow models | arXiv: 2605.15803
embguard constructing hazard-aware guardrails for safe planning in embodied agen | arXiv: 2605.30924
embodied interpretability linking causal understanding to generalization in visi | arXiv: 2605.00321
embodied task planning via graph-informed action generation with large language | arXiv: 2601.21841
emergence of hierarchical emotion organization in large language models | arXiv: 2507.10599
end-to-end autoregressive image generation with 1d semantic tokenizer | arXiv: 2605.00503
end-to-end compression for tabular foundation models | arXiv: 2602.05649
energy-structured low-rank adaptation for continual learning | arXiv: 2605.27482
engiagent fully connected coordination of llm agents for solving open-ended engi | arXiv: 2605.02289
enhancing conformal prediction via class similarity | arXiv: 2511.19359
enhancing llm training via spectral clipping | arXiv: 2603.14315
enhancing membership inference attacks on diffusion models from a frequency-doma | arXiv: 2505.20955
enhancing train-free infinite-frame generation for consistent long videos | arXiv: 2605.18233
ensembling sparse autoencoders | arXiv: 2505.16077
entropy-aware on-policy distillation of language models | arXiv: 2603.07079
entropy-informed decoding adaptive information-driven branching | arXiv: 2605.09745
envisioning beyond the few disentangled semantics and primitives for few-shot at | arXiv: 2605.31266
envy-free allocation of indivisible goods via noisy queries | arXiv: 2602.06361
epc fast and deep predictive coding in digital simulation | arXiv: 2505.20137
epic efficient video camera control learning with precise anchor-video guidance | arXiv: 2505.21876
epicache episodic kv cache management for long-term conversation on resource-con | arXiv: 2509.17396
eps3d end-to-end feed-forward 3d panoptic segmentation | arXiv: 2606.08980
eqgino equivariant geometry-informed fourier neural operators for 3d pdes | arXiv: 2606.03260
equilibrium reasoners learning attractors enables scalable reasoning | arXiv: 2605.21488
eralign energy-based representation alignment of gnns and llms on text-attribute | arXiv: 2606.10461
escaping mode collapse in llm generation via geometric regulation | arXiv: 2605.00435
esoteric language models a family of any-order diffusion llms | arXiv: 2506.01928
estimating correlation clustering cost in node-arrival stream | arXiv: 2605.07091
estimating tail risks in language model output distributions | arXiv: 2604.22167
ets energy-guided test-time scaling for training-free rl alignment | arXiv: 2601.21484
evaluating and rewarding lalms for expressive role-play tts via mean continuatio | arXiv: 2601.22661
evaluating bivariate causal statements based on mutual compatibility | arXiv: 2606.00278
evaluating relational reasoning in llms with rel | arXiv: 2604.12176
evaluating the representation space of diffusion models via self-supervised prin | arXiv: 2606.09718
evaluation of ml resource utilization requires model life cycle assessment | arXiv: 2606.07632
event2vec processing neuromorphic events directly by representations in vector s | arXiv: 2504.15371
evidential reasoning advances interpretable real-world disease screening | arXiv: 2605.15171
evl-ecg efficient ecg interpretation with multi-aspect heterogeneous knowledge d | arXiv: 2605.29977
evoclaw evaluating ai agents on continuous software evolution | arXiv: 2603.13428
evoegf-mol evolving exponential geodesic flow for structure-based drug design | arXiv: 2601.22466
evogm learning to merge llms via evolutionary generative optimization | arXiv: 2605.29295
evolver self-evolving llm agents through an experience-driven lifecycle | arXiv: 2510.16079
excytin-bench evaluating llm agents on cyber threat investigation | arXiv: 2507.14201
expand neurons not parameters | arXiv: 2510.04500
expectation consistency loss rethink confidence calibration under covariate shif | arXiv: 2605.21552
explainable forensics of manipulated segments in untrimmed long videos | arXiv: 2606.02402
explaind unifying model data and training attribution to study model behavior | arXiv: 2505.20076
explaining data mixing scaling laws | arXiv: 2606.08167
explaining is harder than predicting alone evaluating concept-based explanations | arXiv: 2605.28215
exploiting weight-space symmetries for approximating curvature | arXiv: 2606.00442
exploring accurate and transparent domain adaptation in predictive healthcare vi | arXiv: 2602.12542
exploring and exploiting stability in latent flow matching | arXiv: 2605.08398
exploring data-free lora transferability for video diffusion models | arXiv: 2605.01929
exploring systems-thinking approaches to loss of control risk | arXiv: 2606.13474
exposing hidden biases in text-to-image models via automated prompt search | arXiv: 2512.08724
exposing vulnerabilities in explanation for time series classifiers via dual-tar | arXiv: 2602.02763
exposure bias as epistemic underidentification in recursive forecasting | arXiv: 2606.12990
express your doubts -- probabilistic world modeling should not be based on token | arXiv: 2505.02072
extending fair null-space projections for continuous attributes to kernel method | arXiv: 2511.03304
f-divergence regularized rlhf two tales of sampling and unified analyses | arXiv: 2605.06977
f-tis harnessing diverse models in collaborative grpo | arXiv: 2605.22537
f-trajectory balance a loss family for tuning gflownets generative models and ll | arXiv: 2605.15417
fab a first-order ab-based gradient algorithm for distributed bilevel optimizati | arXiv: 2605.06328
factored classifier-free guidance | arXiv: 2506.14399
factorynet a large-scale dataset toward industrial time-series foundation models | arXiv: 2605.09081
fair dataset distillation via cross-group barycenter alignment | arXiv: 2605.00185
fair decisions from calibrated scores achieving optimal classification while sat | arXiv: 2602.07285
fair-calib frontier-aware instability-reweighted calibration for post-training q | arXiv: 2606.06547
fairness in aggregation optimal top-k and improved full ranking | arXiv: 2605.23265
fast and highly expressive policy learning for offline reinforcement learning vi | arXiv: 2606.10613
fast-dllm fréchet profile decoding for faster diffusion llm inference | arXiv: 2606.02955
fast-sam3d 3dfy anything in images but faster | arXiv: 2602.05293
feature-augmented transformers for robust ai-text detection across domains and g | arXiv: 2605.03969
federated distillation for whole slide image via gaussian-mixture feature alignm | arXiv: 2605.00578
federated variational preference alignment with gumbel-softmax prior for persona | arXiv: 2605.30873
fedhpro federated hyper-prototype learning via gradient matching | arXiv: 2605.13475
fedrot-lora mitigating rotational misalignment in federated lora | arXiv: 2602.23638
fedsdr federated self-distillation with rectification | arXiv: 2605.18028
fedtreelora reconciling statistical and functional heterogeneity in federated lo | arXiv: 2603.13282
few-shot synthetic accented speech for asr fine-tuning what helps and when | arXiv: 2604.27273
find fix reason context repair for video reasoning | arXiv: 2604.16243
finding dori discovery of retained images in diffusion models | arXiv: 2507.16880
finding most influential sets | arXiv: 2606.05919
finding the correct visual evidence without forgetting mitigating hallucination | arXiv: 2605.20965
finding the minimal parameter budget for implicit reasoning a data complexity dr | arXiv: 2504.03635
finer parameter steps for low-rank peft a controlled study with cp tensor adapte | arXiv: 2606.00428
finite-width neural tangent kernels from feynman diagrams | arXiv: 2508.11522
fixed aggregation features can rival gnns | arXiv: 2601.19449
flag foundation model representation with latent diffusion alignment via graph f | arXiv: 2605.18055
flatland the adventures of gradient descent with large step sizes | arXiv: 2606.06722
flatness-aware stochastic gradient langevin dynamics | arXiv: 2510.02174
flattengpt depth compression for transformer with layer flattening | arXiv: 2602.08858
flexible kernels for protein property prediction | arXiv: 2606.11057
flexrank nested low-rank knowledge decomposition for adaptive model deployment | arXiv: 2602.02680
flips instance-fingerprinting for llms via pseudo-random sequences | arXiv: 2605.29110
float82bits entropy coding enables data-free model compression | arXiv: 2601.22787
floorplanqa a benchmark for spatial reasoning in llms using structured represent | arXiv: 2507.07644
flow equivariant world models memory for partially observed dynamic environments | arXiv: 2601.01075
flow sampling learning to sample from unnormalized densities via denoising condi | arXiv: 2605.03984
flownar scalable streaming narration for long-form videos | arXiv: 2606.00620
flowseg dynamic semantic guidance for llm-conditioned segmentation | arXiv: 2605.29461
foam frequency and operator error-based adaptive damping method for reducing sta | arXiv: 2606.02365
focus and dilution the multi-stage learning process of attention | arXiv: 2605.01199
focus dllms know how to tame their compute bound | arXiv: 2601.23278
focus forcing in-context object localization through visual support constraints | arXiv: 2605.31145
focus then listen an empirical study of plug-and-play audio enhancer for noise-r | arXiv: 2603.04862
focusing where vision matters selective training for large vision language model | arXiv: 2602.17186
foeglass simple in-context learning is enough for red teaming audio deepfake det | arXiv: 2606.05101
follow-the-perturbed-leader for decoupled bandits best-of-both-worlds and practi | arXiv: 2510.12152
forceforget reinforcement concept removal for enhancing safety in text-to-image | arXiv: 2606.14351
forensicconcept transferable forensic concepts for aigi detection | arXiv: 2606.07034
foresee-to-ground from predictive temporal perception to evidence-driven reasoni | arXiv: 2605.21973
foresightkv optimizing kv cache eviction for reasoning models by learning long-t | arXiv: 2602.03203
forget to know remember to use context-aware unlearning for large language model | arXiv: 2510.17620
forget-it-all multi-concept machine unlearning via concept-aware neuron masking | arXiv: 2601.06163
formal concept lattices are good semantic scaffolds for concept-based learning | arXiv: 2606.05471
formalizing and falsifying causal pathways of rare events | arXiv: 2605.31254
formalizing learning from language feedback with provable guarantees | arXiv: 2506.10341
formalizing the binding problem | arXiv: 2606.03976
foundation inference models for ordinary differential equations | arXiv: 2602.08733
foundation vaes for 3d ct reconstruction augmentation and generation | arXiv: 2605.30893
foundobj self-supervised foundation models as rewards for label-free 3d object s | arXiv: 2605.27178
fourier features let agents learn high precision policies with imitation learnin | arXiv: 2606.12334
fovi a biologically-inspired foveated interface for deep vision models | arXiv: 2602.03766
fractal ssm with fractional recurrent architecture for computational temporal an | arXiv: 2605.08833
freeret mllms as training-free retrievers | arXiv: 2509.24621
frequency matching in spiking neural networks for mmwave sensing | arXiv: 2605.09983
frism fine-grained reasoning injection via subspace-level model merging for visi | arXiv: 2601.21187
from 2d grids to 1d tokens reforming shared representations for multimodal image | arXiv: 2606.12303
from abstraction to instantiation learning behavioral representation for vision- | arXiv: 2605.22671
from backward spreading to forward replay revisiting target construction in llm | arXiv: 2605.00358
from correspondence to actions human-like multi-image spatial reasoning in multi | arXiv: 2602.08735
from feasible to practical pareto-optimal synthesis planning | arXiv: 2605.29113
from flat facts to sharp hallucinations detecting stubborn errors via gradient s | arXiv: 2605.00939
from generalist to specialist representation | arXiv: 2605.12733
from geometry to dynamics learning overdamped langevin dynamics from sparse obse | arXiv: 2512.23566
from holo pockets to electron density gpt-style drug design with density | arXiv: 2605.08767
from human-level ai tales to ai leveling human scales | arXiv: 2602.18911
from imagined futures to executable actions mixture of latent actions for robot | arXiv: 2605.12167
from llm-generated conjectures to lean formalizations automated polynomial inequ | arXiv: 2605.15445
from observation to intervention a causal audit of expert importance in mixture- | arXiv: 2606.10703
from observations to states latent time series forecasting | arXiv: 2602.00297
from out-of-distribution detection to hallucination detection a geometric view | arXiv: 2602.07253
from parameter dynamics to risk scoring quantifying sample-level safety degradat | arXiv: 2605.04572
from per-image low-rank to encoding mismatch rethinking feature distillation in | arXiv: 2511.15572
from player to master enhancing test-time learning of llm agents via reinforceme | arXiv: 2606.08656
from prompts to responses dual-sided data leakage and defense in split large lan | arXiv: 2606.14210
from rashomon theory to praxis efficient decision tree rashomon sets | arXiv: 2606.00202
from reward-free representations to preferences rethinking offline preference-ba | arXiv: 2606.01123
from seeing to thinking decoupling perception and reasoning improves post-traini | arXiv: 2605.20177
from self-evolving synthetic data to verifiable-reward rl post-training multi-tu | arXiv: 2601.22607
from shortcuts to reasoning robust post-training of theory of mind with reinforc | arXiv: 2606.09092
from talking to singing a new challenge for audio-visual deepfake detection | arXiv: 2605.27944
from volume to value preference-aligned memory construction for on-device rag | arXiv: 2605.18271
from weak cues to real identities evaluating inference-driven de-anonymization i | arXiv: 2603.18382
from zero to hero advancing zero-shot foundation models for tabular outlier dete | arXiv: 2602.03018
fs-i2pa hierarchical focus-sweep registration network with dynamically allocated | arXiv: 2605.07607
full-batch gradient descent outperforms one-pass sgd sample complexity separatio | arXiv: 2602.02431
full-spectrum graph neural network expressive and scalable | arXiv: 2605.05759
functional attention from pairwise affinities to functional correspondences | arXiv: 2605.31559
functional cache grafting robust and rapid code-policy synthesis for embodied ag | arXiv: 2606.13097
functional equivalence in attention a comprehensive study with applications to l | arXiv: 2606.17830
furina fragmented uncertainty-driven refusal instability attack | arXiv: 2605.26158
fusefss efficient secure llm inference with function secret sharing | arXiv: 2606.09551
future dynamic 3d reconstruction a 3d world model with disentangled ego-motion | arXiv: 2606.18250
futureomni evaluating future forecasting from omni-modal context for multimodal | arXiv: 2601.13836
game of thought robust information seeking with large language models using game | arXiv: 2602.01708
gass geometry-aware spherical sampling for disentangled diversity enhancement in | arXiv: 2602.17200
gated relational alignment via confidence-based distillation for efficient vlms | arXiv: 2601.22709
gcib graph contrastive information bottleneck for multi-behavior recommendation | arXiv: 2605.25690
gem geometric entropy mixing for optimal llm data curation | arXiv: 2605.26121
gem-fi gated evidential mixtures with fisher modulation | arXiv: 2605.03750
gemq global expert-level mixed-precision quantization for moe llms | arXiv: 2605.23078
generalist graph anomaly detection via prototype-based distillation | arXiv: 2605.26857
generalizable and actionable parts pose estimation with symmetry annotation-free | arXiv: 2605.17033
generalizing multi-scale time-series modeling with a single operator | arXiv: 2605.31129
generating robust portfolios of optimization models using large language models | arXiv: 2605.27013
generative adaptation of dynamics to environmental shifts via weight-space diffu | arXiv: 2505.13919
generative modeling of discrete latent structures via dynamic policy gradients | arXiv: 2606.07400
generative models erode human temporal learning through market selection | arXiv: 2606.06572
generative neural operators through diffusion last layer | arXiv: 2602.04139
generative representation learning on hyper-relational knowledge graphs via mask | arXiv: 2605.24064
generative visual code mobile world models | arXiv: 2602.01576
genexam a multidisciplinary text-to-image exam | arXiv: 2509.14232
geo-expert towards expert-level geological reasoning via parameter-efficient fin | arXiv: 2605.24844
geodesic flow matching for denoising high-dimensional structured representations | arXiv: 2606.00248
geometric and stochastic analysis of discontinuities in sparse mixture-of-expert | arXiv: 2606.19036
geometrically constrained outlier synthesis | arXiv: 2603.08413
geometrically constrained stenosis editing in coronary angiography via entropic | arXiv: 2605.08851
geometry of reason spectral signatures of valid mathematical reasoning | arXiv: 2601.00791
geometry-aware dataset condensation for diffusion model training | arXiv: 2606.05883
geometry-aware decoding with wasserstein-regularized truncation and mass penalti | arXiv: 2602.10346
geometry-aware tabular diffusion | arXiv: 2606.02607
geometry-based schrödinger bridges for trustworthy multimodal fusion | arXiv: 2605.31193
geometry-guided modeling of foundation features enables generalizable object sha | arXiv: 2605.29661
geometry-preserving unsupervised alignment for heterogeneous foundation models | arXiv: 2606.04385
gilt an llm-free tuning-free graph foundational model for in-context learning | arXiv: 2510.04567
gist targeted data selection for instruction tuning via coupled optimization geo | arXiv: 2602.18584
giving sensors a voice multimodal jepa for semantic time-series embeddings | arXiv: 2605.31580
global convergence of adaptive sensing for principal eigenvector estimation | arXiv: 2505.10882
global plane waves from local gaussians periodic charge densities in a blink | arXiv: 2601.19966
global policy-space response oracles for two-player zero-sum games | arXiv: 2605.28273
gotabpfn from feature ordering to compact tokenization for tabular foundation mo | arXiv: 2606.05441
gradient descent with large step size restores symmetry in deep linear networks | arXiv: 2606.05219
gradient preconditioning for efficient and reliable reward-guided generation | arXiv: 2602.08646
gradient transformer learning to generate updates for llms | arXiv: 2605.27591
gradients with respect to semantics preserving embeddings tell the uncertainty o | arXiv: 2605.04638
gradpower powering gradients for faster language model pre-training | arXiv: 2505.24275
graph-grpo training graph flow models with reinforcement learning | arXiv: 2603.10395
graph-r1 towards agentic graphrag framework via end-to-end reinforcement learnin | arXiv: 2507.21892
graphflow a graph-based workflow management for efficient llm-agent serving | arXiv: 2605.22566
grokking from abstraction to intelligence | arXiv: 2603.29262
group cognition learning making everything better through governed two-stage age | arXiv: 2605.00370
grpo is secretly a process reward model | arXiv: 2509.21154
guaranteed optimal compositional explanations for neurons | arXiv: 2511.20934
guda counterfactual group-wise training data attribution for diffusion models vi | arXiv: 2601.22651
guidedbridge training-freely improving bridge models with prior guidance | arXiv: 2606.03119
hacking generative perplexity why unconditional text evaluation needs distributi | arXiv: 2606.08417
hallucination is a consequence of space-optimality a rate-distortion theorem for | arXiv: 2602.00906
hallucinations undermine trust metacognition is a way forward | arXiv: 2605.01428
hard labels in rethinking the role of hard labels in mitigating local semantic d | arXiv: 2512.15647
harnessing reasoning trajectories for hallucination detection via answer-agreeme | arXiv: 2601.17467
haste hardware-aware dynamic sparse training for large output spaces | arXiv: 2606.01117
hawkesllm semantic uncertainty propagation in agentic text simulation | arXiv: 2605.23043
hb-arfm history-bootstrapped flow matching for inverse boiling reconstruction | arXiv: 2606.00349
hdflow hierarchical diffusion-flow planning for long-horizon tasks | arXiv: 2605.04525
he-snr uncovering latent logic via entropy for guiding mid-training on swe-bench | arXiv: 2601.20255
hedp a hybrid energy-distance prompt-based framework for domain incremental lear | arXiv: 2605.05776
helix hybrid encoding with learnable identity and cross-dimensional synthesis fo | arXiv: 2605.02278
helpful to a fault measuring illicit assistance in multi-turn multilingual llm a | arXiv: 2602.16346
hepa a self-supervised horizon-conditioned event predictive architecture for tim | arXiv: 2605.11130
hermite-ngp gradient-augmented hash encoding for learning pdes | arXiv: 2605.24774
hgmem hypergraph-based working memory to improve multi-step rag for long-context | arXiv: 2512.23959
hidden error awareness in chain-of-thought reasoning the signal is diagnostic no | arXiv: 2605.09502
hidden in plain tokens simply robust gradient-free watermark for synthetic audio | arXiv: 2605.25967
hiding in plain floats steganographic carriers for indirect prompt and content i | arXiv: 2606.08403
hierarchical abstract tree for cross-document retrieval-augmented generation | arXiv: 2605.00529
hierarchical image tokenization for multi-scale image super resolution | arXiv: 2605.14891
hierarchical synthetic tabular data generation a hybrid top-down and bottom-up f | arXiv: 2605.28198
hiper hierarchical reinforcement learning with explicit credit assignment for la | arXiv: 2602.16165
hippo zoo explicit memory mechanisms for interpretable state space models | arXiv: 2602.21340
hista and numca estimate state value effectively for llm reinforcement learning | arXiv: 2605.29782
ho-sfl hybrid-order split federated learning with backprop-free clients and dime | arXiv: 2603.14773
hoi-page zero-shot human-object interaction generation with part affordance guid | arXiv: 2506.07209
holofair unified t2i fairness evaluation and fair-grpo debiasing | arXiv: 2605.24687
honest lying understanding memory confabulation in reflexive agents | arXiv: 2605.29463
how can embedding models bind concepts | arXiv: 2605.31503
how can we assess human-agent interactions case studies in software agent design | arXiv: 2510.09801
how does bayesian sampling help membership inference attacks | arXiv: 2503.07482
how does reasoning flow tracing attention-induced information flow for targeted | arXiv: 2606.10646
how far ahead do llms plan uncovering the latent horizon in chain-of-thought rea | arXiv: 2602.02103
how few-shot examples add up a causal decomposition of function vectors in in-co | arXiv: 2605.16591
how hard can it be hardness-aware multi-objective unlearning | arXiv: 2606.02119
how language models process negation | arXiv: 2605.03052
how many different outputs can a transformer generate | arXiv: 2605.22223
how neural is a neural foundation model | arXiv: 2601.21508
how reasoning evolves from post-training data an empirical study using chess | arXiv: 2604.05134
how the optimizer shapes learned solutions in equivariant neural networks | arXiv: 2605.27662
hsgg training free hierarchical scene graph generation
hunt instead of wait evaluating deep data research on large language models | arXiv: 2602.02039
hyper-icl attention calibration with hyperbolic anchor distillation for multimod | arXiv: 2605.29103
hyperbolic neural population geometry benefits computation | arXiv: 2606.10238
hyperparameter transfer with mixture-of-expert layers | arXiv: 2601.20205
hölder improving the quality-coherence trade-off in multimodal vaes | arXiv: 2606.13381
identifiable equivariant networks are layerwise equivariant | arXiv: 2601.21645
identifying and correcting label noise for robust gnns via influence contradicti | arXiv: 2601.17469
idest assessing self-supervised learning representations via intrinsic dimension | arXiv: 2606.03338
idlm inverse-distilled diffusion language models | arXiv: 2602.19066
ido incongruity-aware distribution optimization for multimodal fake news detecti | arXiv: 2605.29116
if open source is to win it must go public | arXiv: 2507.09296
ilora bayesian low-rank adaptation with latent interaction graphs for microbiome | arXiv: 2605.30179
image restoration via diffusion models with dynamic resolution | arXiv: 2605.14267
images as tables in-context learning with tabpfn for low-data detection of ai-ge | arXiv: 2606.00872
imagination helps visual reasoning but not yet in latent space | arXiv: 2602.22766
immuno-vlm immunizing large vision-language models via generative semantic antib | arXiv: 2605.30745
impact influence modeling for open-set time series anomaly detection | arXiv: 2603.29183
implicit preference alignment for human image animation | arXiv: 2605.07545
implicit safety alignment from crowd preferences | arXiv: 2605.21822
improved convergence analysis of topology dependence in decentralized sgd | arXiv: 2606.09154
improving clip adaptation by breaking tail alignment for source-free cross-domai | arXiv: 2605.29776
improving visual token reduction via rectifying distortions for efficient multim | arXiv: 2606.01711
in defense of information leakage in concept-based models | arXiv: 2606.10669
in-training defenses against emergent misalignment in language models | arXiv: 2508.06249
incentivized exploration with stochastic covariates a two-stage mechanism design | arXiv: 2406.04374
inconsistency-aware minimization improving generalization with unlabeled data | arXiv: 2605.31324
incremental bpe tokenization | arXiv: 2605.30813
incremental transformer neural processes | arXiv: 2602.18955
inducing overthink hierarchical genetic algorithm-based dos attack on black-box | arXiv: 2605.13338
industrializing prediction-powered inference the glide library for reliable gena | arXiv: 2605.31278
inference of online newton methods with nesterovs accelerated sketching | arXiv: 2604.23436
inference time optimization with confidence dynamics | arXiv: 2605.25244
inference-time conformal reasoning with valid factuality control for large langu | arXiv: 2606.08831
influence-guided symbolic regression scientific discovery via llm-driven equatio | arXiv: 2605.29184
infoatlas a foundation model for zero-shot statistical dependence estimate | arXiv: 2606.00241
infolaw information scaling laws for large language models with quality-weighted | arXiv: 2605.02364
information-geometric adaptive sampling for graph diffusion | arXiv: 2605.00250
informed asymmetric actor-critic leveraging privileged signals beyond full-state | arXiv: 2509.26000
inftythink effective and efficient infinite-horizon reasoning via reinforcement | arXiv: 2602.06960
initialization is half the battle generating diverse images from a guidance pote | arXiv: 2606.02453
injecting distributional awareness into mllms via reinforcement learning for dee | arXiv: 2605.01402
innoeval on research idea evaluation as a knowledge-grounded multi-perspective r | arXiv: 2602.14367
insertion based sequence generation with learnable order dynamics | arXiv: 2602.18695
instruction lens score your instruction contributes a powerful object hallucinat | arXiv: 2605.12258
interaction-breaking adversarial learning framework for robust multi-agent reinf | arXiv: 2605.18024
internalizing agency from reflective experience | arXiv: 2603.16843
internalizing safety understanding in large reasoning models via verification | arXiv: 2605.08930
interpretability and generalization bounds for learning spatial physics | arXiv: 2506.15199
interpretability can be actionable | arXiv: 2605.11161
interpretability in deep time series models demands semantic alignment | arXiv: 2602.02239
interpretable neural marked statistics for cosmological inference | arXiv: 2606.11295
interpretable self-supervised learning via representer landmarks and nyström app | arXiv: 2509.24467
interpreting and enhancing emotional circuits in large vision-language models vi | arXiv: 2605.21980
inverse depth scaling from most layers being similar | arXiv: 2602.05970
investigating advanced reasoning of large language models via black-box environm | arXiv: 2508.19035
investigating memory in model-free rl with popgym arcade | arXiv: 2503.01450
iqa-spider unifying multi-granularity image quality assessment with reasoning gr | arXiv: 2605.24553
ir3de a linear router for large language models | arXiv: 2606.06098
is code better than language for algorithmic reasoning | arXiv: 2606.15589
is one layer enough understanding inference dynamics in tabular foundation model | arXiv: 2605.06510
is spurious correlation removal always learnable | arXiv: 2606.12930
is your llm overcharging you tokenization transparency and incentives | arXiv: 2505.21627
iterative refinement neural operators are learned fixed-point solvers a principl | arXiv: 2605.24041
itryon mastering interactive video virtual try-on with spatial-semantic guidance | arXiv: 2605.21431
its a trap task-redirecting agent persuasion benchmark for web agents | arXiv: 2512.23128
its time towards the next generation of time series forecasting benchmarks | arXiv: 2602.12147
ive seen how this goes characterizing diversity via progressive conditional surp | arXiv: 2606.01811
ivgr internalizing visually grounded reasoning for mllms with reinforcement lear | arXiv: 2605.31096
iworld-bench a benchmark for interactive world models with a unified action gene | arXiv: 2605.03941
jaeger joint 3d audio-visual grounding and reasoning in simulated physical envir | arXiv: 2602.18527
jailbreak to protect buffering and reinforcing via temporary jailbreaking for sa | arXiv: 2605.24550
jailbreaking vision-language models through the visual modality | arXiv: 2605.00583
joint model and data sparsification via the marginal likelihood | arXiv: 2605.29107
kalman linear attention parallel bayesian filtering for efficient language model | arXiv: 2602.10743
kbqa-r1 reinforcing large language models for knowledge base question answering | arXiv: 2512.10999
knapspec self-speculative decoding via adaptive layer selection as a knapsack pr | arXiv: 2602.20217
knowing isnt understanding re-grounding generative proactivity with epistemic an | arXiv: 2602.15259
knowledge-informed kernel state reconstruction from heterogeneous partial observ | arXiv: 2601.22328
kore enhancing knowledge injection for large multimodal models via knowledge-ori | arXiv: 2510.19316
korean culture into llm alignment toward cultural coherence | arXiv: 2606.06797
krause synchronization transformers | arXiv: 2602.11534
l2g-net local to global spectral graph neural networks via cauchy factorizations | arXiv: 2602.18837
l3 large lookup layers | arXiv: 2601.21461
labbuilder protocol-grounded 3d layout generation for interactable and safe labo | arXiv: 2605.02288
labo llm-accelerated bayesian optimization through broad exploration and selecti | arXiv: 2605.22054
lagrangian perturbation diffusion steering latent reinforcement learning for gen | arXiv: 2606.01151
langforce bayesian decomposition of vision language action models via latent act | arXiv: 2601.15197
language bias in lvlms from in-depth analysis to simple and effective mitigation | arXiv: 2605.25036
laplacian representations for decision-time planning | arXiv: 2602.05031
lapras learning-augmented private answering for linear query streams | arXiv: 2605.01960
lare low-attention region encoding for text-image retrieval | arXiv: 2606.18885
large language models should learn personalized rather than aggregated human pre | arXiv: 2606.07629
large vision-language models get lost in attention | arXiv: 2605.05668
laser learning active sensing for continuum field reconstruction | arXiv: 2604.19355
latent diffusion pretraining for crystal property prediction | arXiv: 2606.00776
latent laplace diffusion for irregular multivariate time series | arXiv: 2605.19805
latent reasoning vla latent thinking and prediction for vision-language-action m | arXiv: 2602.01166
latent representation alignment for offline goal-conditioned reinforcement learn | arXiv: 2605.25740
latentchem from textual cot to latent thinking in chemical reasoning | arXiv: 2602.07075
latentlens revealing highly interpretable visual tokens in llms | arXiv: 2602.00462
layer-specific fine-tuning for improved negation handling in medical vision-lang | arXiv: 2602.12498
lazyattention efficient retrieval-augmented generation with deferred positional | arXiv: 2606.04302
lc-qat data-efficient 2-bit qat for llms via linear-constrained vector quantizat | arXiv: 2606.10531
leap learnable end-to-end adaptive pruning of large language models | arXiv: 2605.17289
learn from a rationalist distilling intermediate interpretable rationales | arXiv: 2601.22531
learn to think improving multimodal reasoning through vision-aware self-improvem | arXiv: 2605.11931
learnable kernel density estimation for graphs and its application to graph-leve | arXiv: 2505.21285
learned subspace compression for communication-efficient pipeline parallelism | arXiv: 2606.05484
learning a zeroth-order optimizer for fine-tuning llms | arXiv: 2510.00419
learning coherent representations a topological approach to interpretability | arXiv: 2606.02841
learning context-conditioned predicate semantics via prototype feedback | arXiv: 2605.29610
learning credal ensembles via distributionally robust optimization | arXiv: 2602.08470
learning design skills as memory policies for agentic photonic inverse design | arXiv: 2605.29421
learning dynamics of zeroth-order optimization a kernel perspective | arXiv: 2605.03373
learning efficient guardrails for compliance | arXiv: 2510.03485
learning from fine-grained visual discrepancies mitigating multimodal hallucinat | arXiv: 2605.31312
learning general causal structures with hidden dynamic process for climate analy | arXiv: 2501.12500
learning graph foundation models on riemannian graph-of-graphs | arXiv: 2605.09993
learning gui grounding with spatial reasoning from visual feedback | arXiv: 2509.21552
learning in structured stackelberg games | arXiv: 2504.09006
learning instance-adaptive low-rank orthogonal subspaces for clothes-changing pe | arXiv: 2606.11661
learning locally revising globally global reviser for federated learning with no | arXiv: 2412.00452
learning long range spatio-temporal representations over continuous time dynamic | arXiv: 2606.04672
learning manifold and itô dynamics with branched neural rough differential equat | arXiv: 2606.05272
learning multi-agent coordination via sheaf-admm | arXiv: 2605.31005
learning multi-scale hypergraph for high-order brain connectivity analysis | arXiv: 2606.03310
learning normalized energy models for linear inverse problems | arXiv: 2605.15487
learning permutation-invariant macroscopic dynamics | arXiv: 2605.30812
learning protein structure-function relationships through knowledge-guided repre | arXiv: 2605.23960
learning query-aware budget-tier routing for runtime agent memory | arXiv: 2602.06025
learning randomized reductions | arXiv: 2412.18134
learning the interaction prior for protein-protein interaction prediction a mode | arXiv: 2605.09964
learning the neighborhood contrast-free multimodal self-supervised molecular gra | arXiv: 2509.22468
learning to approximate uniform facility location via graph neural networks | arXiv: 2602.13155
learning to bet for horizon-aware anytime-valid testing | arXiv: 2603.19551
learning to extrapolate to new tasks a relational approach to task extrapolation | arXiv: 2605.30132
learning to refine spectral-decoupled iterative refinement framework for precipi | arXiv: 2606.02661
learning to route languages for multilingual policy optimization | arXiv: 2605.25360
learning to search and searching to learn for generalization in planning | arXiv: 2605.25720
learning unmasking policies for diffusion language models | arXiv: 2512.09106
learning when to act or refuse guarding agentic reasoning models for safe multi- | arXiv: 2603.03205
learning-augmented scalable linear assignment problem optimization via neural du | arXiv: 2605.09382
lec linear expectation constraints for selection-conditioned risk control in sel | arXiv: 2512.01556
left-right symmetry breaking in clip-style vision-language models trained on syn | arXiv: 2601.12809
lemur learned multi-vector retrieval | arXiv: 2601.21853
less data faster training repeating smaller datasets speeds up learning via samp | arXiv: 2605.20314
less diverse less safe the indirect but pervasive risk of test-time scaling in l | arXiv: 2510.08592
less is more elevating rag via performance-driven context compression | arXiv: 2508.19282
less precise can be more reliable a systematic evaluation of quantizations impac | arXiv: 2509.21173
let eeg models learn eeg | arXiv: 2605.21280
lfq logit-aware final-block quantization for boosting the generation quality of | arXiv: 2605.29756
lifting traces to logic programmatic skill induction with neuro-symbolic learnin | arXiv: 2605.01293
liftquant continuous bit-width llm via dimensional lifting and projection | arXiv: 2606.04050
light forcing accelerating autoregressive video diffusion via sparse attention | arXiv: 2602.04789
lightavseg lightweight audio-visual segmentation | arXiv: 2605.08805
lightning unified video editing via in-context sparse attention | arXiv: 2605.04569
limits of convergence-rate control for open-weight safety | arXiv: 2602.18868
limix-2m mitigating low-rank collapse and attention bottlenecks in tabular found | arXiv: 2606.04485
limmt less is more for motion tracking | arXiv: 2606.06953
limssr llm-driven sequence-to-score reasoning under training-time incomplete mul | arXiv: 2605.00434
limuon light and fast muon optimizer for large models | arXiv: 2509.14562
lineageflow flow matching for high-fidelity family-aware protein sequence genera | arXiv: 2605.22252
linearizing vision transformer with test-time training | arXiv: 2605.02772
linguistic nepotism trading-off quality for language preference in multilingual | arXiv: 2509.13930
lithogrpo fast inverse lithography via grpo reinforced flow matching | arXiv: 2606.00228
lk losses direct acceptance rate optimization for speculative decoding | arXiv: 2602.23881
llm agents are the antidote to walled gardens | arXiv: 2506.23978
llm benchmark datasets should be contamination-resistant | arXiv: 2605.19999
llm self-recognition steering and retrieving activation signatures | arXiv: 2606.06315
llm-guided communication for cooperative multi-agent reinforcement learning | arXiv: 2605.18077
llms as noisy channels a shannon perspective on model capacity and scaling laws | arXiv: 2605.23901
llms lean on priors not programming language semantics | arXiv: 2510.03415
local and mixing-based algorithms for gaussian graphical model selection from gl | arXiv: 2412.18594
local hessian spectral filtering for robust intrinsic dimension estimation | arXiv: 2605.01221
localized high-resolution geographic representations with slepian functions | arXiv: 2602.00392
localizing memorized regions in diffusion models via coordinate-wise curvature d | arXiv: 2605.26756
locally coherent parallel decoding in diffusion language models | arXiv: 2603.20216
locot2v-bench benchmarking long-form and complex text-to-video generation | arXiv: 2510.26412
long live the balance information bottleneck driven tree-based policy optimizati | arXiv: 2605.28109
long-horizon model-based offline reinforcement learning without explicit conserv | arXiv: 2512.04341
look on demand a cognitive scheduling framework for visual evidence acquisition | arXiv: 2605.28160
lookahead sample reward guidance for test-time scaling of diffusion models | arXiv: 2602.03211
lora-da data-aware initialization for low-rank adaptation via asymptotic analysi | arXiv: 2510.24561
lore adaptive interaction-evaluation routing with per-step interaction budgets f | arXiv: 2605.29005
loss landscape diagnosis for gradient-based gray-scott system inversion disentan | arXiv: 2606.11258
lower complexity bounds for nonconvex-strongly-convex bilevel optimization with | arXiv: 2511.19656
luve latent-cascaded ultra-high-resolution video generation with dual frequency | arXiv: 2602.11564
macarena benchmarking computer use agents on an online macos environment | arXiv: 2606.06560
making expert reasoning learnable with self-distillation | arXiv: 2602.02405
making models unmergeable via scaling-sensitive loss landscape | arXiv: 2601.21898
maltree tracing malware evolution from embeddings at scale | arXiv: 2606.06570
manga109-v2026 revisiting manga109 annotations for modern manga understanding | arXiv: 2605.21182
manifold-aligned guided integrated gradients for reliable feature attribution | arXiv: 2605.02167
manisoft towards vision-language manipulation for soft continuum robotics | arXiv: 2605.18617
many-shot cot-icl making in-context learning truly learn | arXiv: 2605.13511
mapping human anti-collusion mechanisms to multi-agent ai systems | arXiv: 2601.00360
margin-adaptive confidence ranking for reliable llm judgement | arXiv: 2605.15416
markov chain monte carlo without evaluating the target an auxiliary variable app | arXiv: 2406.05242
marrying generative model of healthcare events with digital twin of social deter | arXiv: 2605.09771
mars modular agent with reflective search for automated ai research | arXiv: 2602.02660
mas-orchestra understanding and improving multi-agent reasoning through holistic | arXiv: 2601.14652
masks can be distracting on context comprehension in diffusion language models | arXiv: 2511.21338
maspob bandit-based prompt optimization for multi-agent systems with graph neura | arXiv: 2603.02630
matchfixagent language-agnostic autonomous repository-level code translation val | arXiv: 2509.16187
mathbbr2k is theoretically large enough for embedding-based top-k retrieval | arXiv: 2601.20844
matroid algorithms under size-sensitive independence oracles | arXiv: 2605.00201
mcp-persona benchmarking llm agents on real-world personal applications via envi | arXiv: 2606.02470
mean flow policy optimization | arXiv: 2604.14698
mean-shift pca by knockoff mean | arXiv: 2605.25460
measurement plasticity sensor-level adaptation for vision-language models | arXiv: 2512.12571
measurement-consistent langevin corrector for stabilizing latent diffusion inver | arXiv: 2601.04791
measuring agents in production | arXiv: 2512.04123
measuring weak-to-strong legibility of reasoning models | arXiv: 2603.20508
mecat a multi-experts constructed benchmark for fine-grained audio understanding | arXiv: 2507.23511
med-scout curing mllms geometric blindness in medical perception via geometry-aw | arXiv: 2601.23220
medcase-structured a text-to-fhir dataset for benchmarking diagnostic reasoning | arXiv: 2605.30295
medcog maximizing llm inference density in medical reasoning via meta-cognitive | arXiv: 2602.07905
medcrp-cl continual medical image segmentation via bayesian nonparametric semant | arXiv: 2605.20297
medmosaic a challenging large scale benchmark of diverse medical audio | arXiv: 2605.00969
medsight towards grounded visual comprehension in medical large vision-language | arXiv: 2606.06760
meg-xl data-efficient brain-to-text via long-context pre-training | arXiv: 2602.02494
memetic capture a pluralistic policy framework for governing ai-driven cultural | arXiv: 2606.07802
memorization dynamics of fill-in-the-middle pretraining | arXiv: 2605.22981
memory as a markov matrix sample efficient knowledge expansion via token-to-dict | arXiv: 2605.04308
memory is reconstructed not retrieved graph memory for llm agents | arXiv: 2606.06036
memory-efficient llm pretraining via minimalist optimizer design | arXiv: 2506.16659
memory-efficient partitioned dnn inference on resource-constrained android crowd | arXiv: 2605.20723
mentisoculi revealing the limits of reasoning with mental imagery | arXiv: 2602.02465
menvagent scalable polyglot environment construction for verifiable software eng | arXiv: 2601.22859
mesa improving moe safety alignment via decentralized expertise | arXiv: 2606.00651
mesh field theory port-hamiltonian formulation of mesh-based physics | arXiv: 2605.00394
message tuning outshines graph prompt tuning a prismatic space perspective | arXiv: 2606.03290
met-bench multimodal entity tracking for evaluating the limitations of vision-la | arXiv: 2502.10886
meta-learning structure-preserving dynamics | arXiv: 2508.11205
metadata predictability is not evidence dependence an intervention-based audit f | arXiv: 2605.23701
metadns enhancing exploration in discrete neural samplers via well-tempered meta | arXiv: 2605.21722
metamoe diversity-aware proxy selection for privacy-preserving mixture-of-expert | arXiv: 2605.14289
metaphorvu towards metaphorical video understanding | arXiv: 2605.25461
metis learning to jailbreak llms via self-evolving metacognitive policy optimiza | arXiv: 2605.10067
mic maximizing informational capacity in adaptive representations via isotropic | arXiv: 2605.29987
mind dreamer untethering imagination via active causal intervention on latent ma | arXiv: 2605.16030
mind multi-rationale integrated discriminative reasoning framework for multi-mod | arXiv: 2605.29117
mind the gap mixtures of gaussians in approximate differential privacy | arXiv: 2605.28078
mind your margin and boundary are your distilled datasets truly robust | arXiv: 2605.20606
mindzero learning online mental reasoning with zero annotations | arXiv: 2606.00240
minedraft a framework for batch parallel speculative decoding | arXiv: 2603.18016
minibatch selection via partition matroid constrained gradient matching | arXiv: 2606.07954
minim privacy-aware minimal view for agents via trusted local sanitization | arXiv: 2606.13949
minimax learning of interpretable factored stochastic policies from conjoint dat | arXiv: 2504.19043
miro multi-reward conditioned pretraining improves t2i quality and efficiency | arXiv: 2510.25897
mirror descent under generalized smoothness | arXiv: 2502.00753
mirror mean-field langevin dynamics | arXiv: 2505.02621
mitigating error accumulation in continuous navigation via memory-augmented kalm | arXiv: 2602.11183
mitigating hallucinations in large vision-language models via causal route gatin | arXiv: 2605.24024
mitigating label shift in tabular in-context learning via test-time posterior ad | arXiv: 2605.04363
mitigating manifold departure uncertainty-aware subspace rectification for trust | arXiv: 2606.09859
mitigating perceptual judgment bias in multimodal llm-as-a-judge via perceptual | arXiv: 2606.02578
mitigating reward hacking in rlhf via bayesian non-negative reward modeling | arXiv: 2602.10623
mitigating staleness in asynchronous pipeline parallelism via basis rotation | arXiv: 2602.03515
mitigating the contractivity trap in diffusion odes via stein stabilization | arXiv: 2606.07835
mive multiscale vision-language features for reference-guided video editing | arXiv: 2605.14664
mix dont pick why synthetic corpus composition matters for time series foundatio | arXiv: 2606.09912
mixture of horizons in action chunking | arXiv: 2511.19433
mixture prototype flow matching for open-set supervised anomaly detection | arXiv: 2605.02438
ml-embed inclusive and efficient embeddings for a multilingual world | arXiv: 2605.15081
mlubench a benchmark for lifelong unlearning evaluation in mllms | arXiv: 2606.12809
mm-snowball evaluating and mitigating hallucination snowballing in multimodal mu | arXiv: 2606.00622
mmd-balls as credal sets a pac-bayesian framework for epistemic uncertainty in t | arXiv: 2605.21783
moda modulation adapter for fine-grained visual grounding in instructional mllms | arXiv: 2506.01850
model merging scaling laws in large language models | arXiv: 2509.24244
model-dowser data-free importance probing to mitigate catastrophic forgetting in | arXiv: 2602.04509
model-preserving adaptive rounding | arXiv: 2505.22988
modeling hierarchical thinking in large reasoning models | arXiv: 2510.22437
moment matching q-learning | arXiv: 2605.29033
moose-star unlocking tractable training for scientific discovery by breaking the | arXiv: 2603.03756
moshirag asynchronous knowledge retrieval for full-duplex speech language models | arXiv: 2604.12928
motimotion motion-controlled video generation with visual reasoning | arXiv: 2605.22818
motiongrpo overcoming low intra-group diversity in grpo-based egocentric motion | arXiv: 2605.05680
moving out physically-grounded human-ai collaboration | arXiv: 2507.18623
multi-adapter representation interventions via energy calibration | arXiv: 2605.28722
multi-agent decision-focused learning via value-aware sequential communication | arXiv: 2604.08944
multi-agent reinforcement learning from delayed marketplace feedback for objecti | arXiv: 2606.13604
multi-agent teams hold experts back | arXiv: 2602.01011
multi-level strategic classification incentivizing improvement through promotion | arXiv: 2602.11439
multi-objective bayesian optimization via adaptive varepsilon-constraints decomp | arXiv: 2604.15959
multi-task linear regression without eigenvalue lower bounds adaptivity robustne | arXiv: 2605.17126
multi2 hierarchical multi-agent decision-making with llm-based agents in interac | arXiv: 2606.03698
multibreak a scalable and diverse multi-turn jailbreak benchmark for evaluating | arXiv: 2605.01687
multilingual unlearning in llms transfer dynamics and reversibility | arXiv: 2606.03291
multimodal continual learning with mllms from multi-scenario perspectives | arXiv: 2511.18507
multimodal fact-level attribution for verifiable reasoning | arXiv: 2602.11509
multimodal fusion via self-consistent task-gradient fields | arXiv: 2410.15475
multiple choice learning of low-rank adapters for language modeling | arXiv: 2507.10419
muon in associative memory learning training dynamics and scaling laws | arXiv: 2602.05725
muse resolving manifold misalignment in visual tokenization via topological orth | arXiv: 2605.05646
musicdet zero-shot ai-generated music detection | arXiv: 2605.18072
mvr-cache optimizing semantic caching via multi-vector retrieval and learned pro | arXiv: 2605.24914
mōle-λ learning the coupled-cluster response state for energies gradients and pr | arXiv: 2605.29622
naaca training-free neuroauditory attentive cognitive architecture with oscillat | arXiv: 2605.13651
names dont matter symbol-invariant transformer for open-vocabulary learning | arXiv: 2601.23169
nanoquant efficient sub-1-bit quantization of large language models | arXiv: 2602.06694
narrativeworldbench a frontier-saturated benchmark and a latent world model for | arXiv: 2606.17391
native active perception as reasoning for omni-modal understanding | arXiv: 2606.19341
naviagent graph-driven bilevel planning for scalable tool orchestration | arXiv: 2506.19500
nd-rope a generalized rope for n-dimensional position embedding | arXiv: 2606.12146
nemo execution-aware optimization modeling via autonomous coding agents | arXiv: 2601.21372
nested spatio-temporal time series forecasting | arXiv: 2605.16447
networked information aggregation for binary classification | arXiv: 2605.01082
neuqi near-optimal uniform quantization parameter initialization for low-bit llm | arXiv: 2505.17595
neural collapse by design learning class prototypes on the hypersphere | arXiv: 2605.20302
neural estimation of pairwise mutual information in masked discrete sequence mod | arXiv: 2605.20187
neural implicit action fields from discrete waypoints to continuous functions fo | arXiv: 2603.01766
neural low-discrepancy sequences | arXiv: 2510.03745
neural qaoa2 differentiable joint graph partitioning and parameter initializatio | arXiv: 2605.13072
neutral-reference prompting for vision-language models | arXiv: 2605.15615
new bounds for kernel sums via fast spherical embeddings | arXiv: 2605.01263
new wide-net-casting jailbreak attacks risk large models | arXiv: 2605.17128
nitp next implicit token prediction for llm pre-training | arXiv: 2605.24956
noise-guided transport for imitation learning | arXiv: 2509.26294
nonparametric llm evaluation from preference data | arXiv: 2601.21816
nonzero interaction-guided exploration for multi-agent monte carlo tree search | arXiv: 2605.00751
not all prefills are equal ppd disaggregation for multi-turn llm serving | arXiv: 2603.13358
numleak public numeric benchmarks as latent labels in foundation models | arXiv: 2605.30393
obcache optimal brain kv cache pruning for efficient long-context llm inference | arXiv: 2510.07651
objembed towards universal multimodal object embeddings | arXiv: 2605.29118
occlusionformer arranging z-order for layout-grounded image generation | arXiv: 2605.21343
offline multi-agent reinforcement learning via sequential score decomposition | arXiv: 2505.05968
offline preference optimization for rectified flow with noise-tracked pairs | arXiv: 2605.09433
offline reinforcement learning with generative trajectory policies | arXiv: 2510.11499
offline reinforcement learning with universal horizon models | arXiv: 2605.15603
olaf-world orienting latent actions for video world modeling | arXiv: 2602.10104
old habits die hard how conversational history geometrically traps llms | arXiv: 2603.03308
olivia harmonizing time series foundation models with power spectral density | arXiv: 2605.17340
omniaid decoupling semantic and artifacts for universal ai-generated image detec | arXiv: 2511.08423
omnisapiens a foundation model for social behavior processing via heterogeneity- | arXiv: 2602.10635
omnisift modality-asymmetric token compression for efficient omni-modal large la | arXiv: 2602.04804
omniverifier-m1 multimodal meta-verifier with explicit structured recalibration | arXiv: 2605.28805
omnivl-guard towards unified vision-language forgery detection and grounding via | arXiv: 2602.10687
omp one-step meanflow policy with directional alignment | arXiv: 2512.19347
on cost-effective llm-as-a-judge improvement techniques | arXiv: 2604.13717
on effectiveness and efficiency of agentic tool-calling and rl training | arXiv: 2606.00135
on information self-locking in reinforcement learning for active reasoning of ll | arXiv: 2603.12109
on regret bounds of thompson sampling for bayesian optimization | arXiv: 2603.09276
on revisiting entropy for identifying mislabeled images | arXiv: 2605.31090
on robustness and chain-of-thought consistency of rl-finetuned vlms | arXiv: 2602.12506
on the adversarial robustness of large vision-language models under visual token | arXiv: 2601.21531
on the collapse of generative paths a criterion and correction for diffusion ste | arXiv: 2512.10339
on the convergence rate of lora gradient descent | arXiv: 2512.18248
on the coordination of value-maximizing bidders | arXiv: 2511.04993
on the epistemic uncertainty of overparametrized neural networks | arXiv: 2605.25234
on the expressive power of gnns to solve linear sdps | arXiv: 2604.27786
on the expressive power of permutation-equivariant weight-space networks | arXiv: 2602.01083
on the generalization gap in self-evolving language model reasoning | arXiv: 2606.01075
on the interaction of batch noise adaptivity and compression under l 0l 1-smooth | arXiv: 2506.00181
on the learnability of test-time adaptation a recovery complexity perspective | arXiv: 2605.28057
on the limits of llm adaptability impact of model-internalized priors on annotat | arXiv: 2606.00467
on the provable suboptimality of momentum sgd in nonstationary stochastic optimi | arXiv: 2601.12238
on the relationship between activation outliers and feature death in sparse auto | arXiv: 2605.31518
on the robustness of langevin dynamics to score function error | arXiv: 2603.11319
on the salience of low-probability tokens for ai-generated text detection a mult | arXiv: 2606.02158
on training large language models for long-horizon tasks an empirical study of h | arXiv: 2605.02572
once-for-all scalable simultaneous forecasting via equilibrium state estimation | arXiv: 2606.13285
one bias after another mechanistic reward shaping and persistent biases in langu | arXiv: 2603.03291
one model to translate them all universal any-to-any translation for heterogeneo | arXiv: 2605.17907
one-shot conditional sampling mmd meets nearest neighbors | arXiv: 2509.25507
one-step residual shifting diffusion for image super-resolution via distillation | arXiv: 2503.13358
online learning with recency algorithms for sliding-window streaming multi-armed | arXiv: 2606.08977
online self-training for co-adaptation in hierarchical diffusion policies | arXiv: 2603.05291
operationalising the superficial alignment hypothesis via task complexity | arXiv: 2602.15829
optimal and scalable mapf via multi-marginal optimal transport and schrödinger b | arXiv: 2605.10917
optimal attention temperature improves the robustness of in-context learning und | arXiv: 2511.01292
optimal bayesian stopping for efficient inference of consistent llm answers | arXiv: 2602.05395
optimal design for multinomial logit model with applications to best assortment | arXiv: 2605.25592
optimal regularization for performative learning | arXiv: 2510.12249
optimal transport under group fairness constraints | arXiv: 2601.07144
optimizing diversity and quality through base-aligned model collaboration | arXiv: 2511.05650
optimizing language models for crosslingual knowledge consistency | arXiv: 2603.04678
optimizing token choice for code watermarking an rl approach | arXiv: 2508.11925
order within chaos capturing intrinsic energy anomalies for ai-manipulated image | arXiv: 2606.02178
orloopbench solver-in-the-loop benchmarks for self-correction and behavioral rat | arXiv: 2601.21008
orthogonal concept erasure for diffusion models | arXiv: 2605.28902
osaq outlier self-absorption for accurate low-bit llm quantization | arXiv: 2605.04738
oserve accelerating llm serving via spatial-temporal workload orchestration | arXiv: 2602.12151
otora a unified red teaming framework for reasoning-level denial-of-service in l | arXiv: 2605.08876
outcome-aware spectral feature learning for instrumental variable regression | arXiv: 2512.00919
over-alignment vs over-fitting the role of feature learning strength in generali | arXiv: 2602.00827
pac-bayesian reinforcement learning trains generalizable policies | arXiv: 2510.10544
pacx-mae physiology-augmented chest x-ray masked autoencoder | arXiv: 2606.01537
padd path-aligned decompression distillation for non-router teacher to guide moe | arXiv: 2606.10369
pair2scene learning local object relations for procedural scene generation | arXiv: 2604.11808
paralesn enabling parallel information processing in reservoir computing | arXiv: 2601.22296
parameter-free dynamic regret time-varying movement costs delayed feedback and m | arXiv: 2602.06902
parameters as experts adapting vision models with dynamic parameter routing | arXiv: 2602.06862
parametric prior mapping framework for non-stationary probabilistic time series | arXiv: 2605.23402
pareto-guided optimal transport for multi-reward alignment | arXiv: 2605.13155
pariskv fast and drift-robust kv-cache retrieval for long-context llms | arXiv: 2602.07721
parsimonious learning-augmented online metric matching | arXiv: 2605.26886
partco part-level correspondence priors enhance category discovery | arXiv: 2509.22769
partial fusion of neural networks efficient tradeoffs between ensembles and weig | arXiv: 2605.22350
partitioning for intrinsic model inversion resistance in collaborative inference | arXiv: 2506.15412
path-coupled bellman flows for distributional reinforcement learning | arXiv: 2605.08253
pathwise planning through world model for automated heuristic design via self-ev | arXiv: 2601.20539
patra pattern-aware alignment and balanced reasoning for time series question an | arXiv: 2602.23161
paws preference learning with advantage-weighted segments | arXiv: 2606.11982
perceptual flow network for visually grounded reasoning | arXiv: 2605.02730
performative learning theory | arXiv: 2602.04402
persona-pruner sculpting lightweight models for role-playing | arXiv: 2606.14695
persona2web benchmarking personalized web agents for contextual reasoning with u | arXiv: 2602.17003
persuasive privacy | arXiv: 2601.22945
pft phonon fine-tuning for machine learned interatomic potentials | arXiv: 2601.07742
phalar phasors for learned musical audio representations | arXiv: 2605.03929
phy-cosf physics-guided continuous spectral fields reconstruction and super-reso | arXiv: 2605.13583
physcene3d physically consistent interactive 3d tabletop scene generation | arXiv: 2606.01649
physforge generating physics-grounded 3d assets for interactive virtual world | arXiv: 2605.05163
physhandi physics-based reconstruction of hand-deformable object interactions | arXiv: 2605.09538
physics from video identifiability of time-invariant second-order odes under min | arXiv: 2606.00115
physics in 2-steps locking motion priors before visual refinement erases them | arXiv: 2606.06361
physics is all you need a case study in physicist-supervised ai development of s | arXiv: 2605.30353
physics-informed coarsening for multigrid graph neural surrogates | arXiv: 2605.31013
picaco pluralistic in-context value alignment of llms via total correlation opti | arXiv: 2507.16679
pine pruning boosted tree ensembles with conformal in-distribution prediction eq | arXiv: 2605.28068
pinnfluence interpreting pinns through influence functions | arXiv: 2409.08958
pipesd an efficient cloud-edge collaborative pipeline inference framework with s | arXiv: 2605.13319
plaid a unified data model for machine learning on heterogeneous physics simulat | arXiv: 2505.02974
plan for speed dilated scheduling for masked diffusion language models | arXiv: 2506.19037
plan in sandbox navigate in open worlds learning physics-grounded abstracted exp | arXiv: 2605.10118
plug-and-play benchmarking of reinforcement learning algorithms for large-scale | arXiv: 2601.15015
plug-and-play diffusion meets admm dual-variable coupling for robust medical ima | arXiv: 2602.23214
plug-and-play guidance for discrete diffusion models via gradient-informed logit | arXiv: 2606.06303
plug-and-play label map diffusion for universal goal-oriented navigation | arXiv: 2605.05960
plug-and-play spiking operators breaking the nonlinearity bottleneck in spiking | arXiv: 2605.20289
podiff latent diffusion in proper orthogonal decomposition space for scientific | arXiv: 2605.03399
poet-x memory-efficient llm training by scaling orthogonal transformation | arXiv: 2603.05500
poison with style a practical poisoning attack on code large language models | arXiv: 2605.27631
polaris coupled orbital polar embeddings for hierarchical concept learning | arXiv: 2605.00265
politicsbench benchmarking political values in large language models with multi- | arXiv: 2603.23841
polyflow safe and efficient polytope-constrained flow matching with constraint e | arXiv: 2606.13400
polynomial neural sheaf diffusion a spectral filtering approach on cellular shea | arXiv: 2512.00242
polyphonia zero-shot timbre transfer in polyphonic music with acoustic-informed | arXiv: 2605.10203
polysae modeling feature interactions in sparse autoencoders via polynomial deco | arXiv: 2602.01322
position adopting ai in practice does not guarantee the productivity boost | arXiv: 2605.24688
position adversarial ml for llms is not making any progress | arXiv: 2502.02260
position age estimation models do not process biometric data | arXiv: 2605.17347
position agentic ai orchestration should be bayes-consistent | arXiv: 2605.00742
position ai evaluations should be grounded on a theory of capability | arXiv: 2509.19590
position assistive agents need accessibility alignment | arXiv: 2605.13579
position beyond sensitive attributes ml fairness should quantify structural inju | arXiv: 2508.08337
position current benchmarking hinders real progress in deep learning for time se | arXiv: 2512.22702
position deployed reinforcement learning should be continual | arXiv: 2606.04029
position embodied ai requires a privacy-utility trade-off | arXiv: 2605.05017
position generative engine optimization creates underexamined risks governance m | arXiv: 2606.12439
position good embodied reward models need bad behavior data | arXiv: 2606.01036
position hippocampal explicit memory is the cornerstone for agi | arXiv: 2606.11245
position ideas should be the center of machine learning research | arXiv: 2605.15253
position lets develop data probes to fundamentally understand how data affects l | arXiv: 2605.18801
position machine learning for heart transplant allocation policy optimization sh | arXiv: 2602.04990
position modular memory is the key to continual learning agents | arXiv: 2603.01761
position neglecting the sustainability of ai is fuelling a global ai arms race | arXiv: 2502.20016
position retire the positive backdoor label -- secret alignment requires strict | arXiv: 2605.28597
position stop anthropomorphizing intermediate tokens as reasoningthinking traces | arXiv: 2504.09762
position stop chasing the c-index when evaluating survival analysis models | arXiv: 2506.02075
position stop preaching and start practising data frugality for responsible deve | arXiv: 2602.19789
position text embeddings should capture implicit semantics not just surface mean | arXiv: 2506.08354
position the ml community must build an ai-augmented peer-review ecosystem | arXiv: 2506.08134
position the systemic lack of agency in visual reasoning | arXiv: 2606.14795
position the turing-completeness of autoregressive transformers relies heavily o | arXiv: 2605.19514
position towards responsible evaluation for text-to-speech | arXiv: 2510.06927
position uncertainty quantification in llms is just unsupervised clustering | arXiv: 2605.19220
position zeroth-order optimization in deep learning is underexplored not underpo | arXiv: 2605.15622
possibilistic predictive uncertainty for deep learning | arXiv: 2605.00600
post-hoc merging is not enough many-shot model merging with loss-gap balancing | arXiv: 2606.16501
post-training llms as better decision-making agents a regret-minimization approa | arXiv: 2511.04393
powerflow unlocking the dual nature of llms via principled distribution matching | arXiv: 2603.18363
practical and optimal algorithm for linear contextual bandits with rare paramete | arXiv: 2606.00984
praglocker protecting agent intellectual property in untrusted deployments via n | arXiv: 2605.05974
predicting large model test losses with a noisy quadratic system | arXiv: 2605.09154
predictive prefetching for retrieval-augmented generation | arXiv: 2605.17989
preregistration for experiments with ai agents | arXiv: 2606.11217
prescriptive scaling reveals the evolution of language model capabilities | arXiv: 2602.15327
preserve-then-quantize balancing rank budgets for quantization error reconstruct | arXiv: 2602.02001
principled rl for flow matching emerges from the chunk-level policy optimization | arXiv: 2510.21583
prioritize the process not just the outcome rewarding latent thought trajectorie | arXiv: 2602.10520
prism a 3d probabilistic neural representation for interpretable shape modeling | arXiv: 2602.11467
prism efficient test-time scaling via hierarchical search and self-verification | arXiv: 2602.01842
prism gauge-invariant tangent-space differentially private lora | arXiv: 2606.00944
prism spectral-aware block-sparse attention | arXiv: 2602.08426
prism synergizing vision foundation models via self-organized expert specializat | arXiv: 2606.03444
privacy amplification in differentially private zeroth-order optimization with h | arXiv: 2506.00158
privacy-aware video anomaly detection through orthogonal subspace projection | arXiv: 2605.08651
private and stable test-time adaptation with differential privacy | arXiv: 2606.01908
private learning with public feature conditioning | arXiv: 2606.18773
privcode latent-conditioned differentially private code generation for comprehen | arXiv: 2606.09145
proact-vl a proactive videollm for real-time ai companions | arXiv: 2603.03447
proactivellm learning active interaction for streaming large language models | arXiv: 2606.00523
probabilistic modeling of latent agentic substructures in deep neural networks | arXiv: 2509.06701
probability-entropy calibration an elastic indicator for adaptive fine-tuning | arXiv: 2602.01745
probing cross-modal information hubs in audio-visual llms | arXiv: 2605.10815
probing neural tsp representations for prescriptive decision support | arXiv: 2602.07216
probing rlvr training instability through the lens of objective-level hacking | arXiv: 2602.01103
probing token spaces under generator shift in ai-generated music detection | arXiv: 2606.08663
probmoe differentiable probabilistic routing for mixture-of-experts | arXiv: 2606.01509
procedural pretraining warming up language models with abstract data | arXiv: 2601.21725
process reward agents for steering knowledge-intensive reasoning | arXiv: 2604.09482
projq project-and-quantize for adapter-aware llm compression | arXiv: 2606.00494
prompt injection as role confusion | arXiv: 2603.12277
prompt optimization is a coin flip diagnosing when it helps in compound ai syste | arXiv: 2604.14585
prompts for public-sector llms should be governed as commons | arXiv: 2606.00873
prorl effective reinforcement learning for proactive recommendation via rectifie | arXiv: 2605.28293
protein autoregressive modeling via multiscale structure generation | arXiv: 2602.04883
protein circuit tracing via cross-layer transcoders | arXiv: 2602.12026
protein fold classification at scale benchmarking and pretraining | arXiv: 2605.18552
protein language model embeddings improve generalization of implicit transfer op | arXiv: 2602.11216
prototype transformer towards language model architectures interpretable by desi | arXiv: 2602.11852
provable accuracy collapse in embedding-based representations under dimensionali | arXiv: 2605.03346
provable benefit of curriculum in transformer tree-reasoning post-training | arXiv: 2511.07372
provably data-driven lagrangian relaxation for mixed integer linear programming | arXiv: 2605.19052
provably data-driven multiple hyper-parameter tuning with structured loss functi | arXiv: 2602.02406
provably learning attention with queries | arXiv: 2601.16873
proxy compression for language modeling | arXiv: 2602.04289
prpo paragraph-level policy optimization for vision-language deepfake detection | arXiv: 2509.26272
pseudospectral bounds for transient amplification in coupled gradient descent | arXiv: 2606.04031
psg-nav probabilistic scene graph navigation via multiverse decision making | arXiv: 2606.01313
pull requests as a training signal for repo-level code editing | arXiv: 2602.07457
q-delta beyond key-value associative state evolution | arXiv: 2606.08804
q-dit4sr exploration of detail-preserving diffusion transformer quantization for | arXiv: 2602.01273
qhyer q-conditioned hybrid attention-mamba transformer for offline goal-conditio | arXiv: 2605.01862
quant videogen auto-regressive long video generation via 2-bit kv-cache quantiza | arXiv: 2602.02958
quantifying and optimizing simplicity via polynomial representations | arXiv: 2605.29823
quantifying error propagation and model collapse in diffusion models | arXiv: 2602.16601
quantifying the salience of geo-cultural values for pluralistic safety alignment | arXiv: 2606.00369
quantifying the uncertainty of foundation models with singular value ensembles | arXiv: 2601.22068
quantile-free uncertainty quantification in graph neural networks | arXiv: 2605.04847
quantized keys steal attention bias correction for kv-cache compression in video | arXiv: 2605.26266
quantum algorithms for triangle cut sparsification | arXiv: 2606.06287
quantum latent distributions in deep generative models | arXiv: 2508.19857
query circuits explaining how language models answer user prompts | arXiv: 2509.24808
query lens interpreting sparse key-value features with indirect effects | arXiv: 2606.07617
quite query-based irregular time series embedding | arXiv: 2605.28166
quiver quantum-informed views for enhanced representations in large ml models | arXiv: 2606.02785
r2-router a new paradigm for llm routing with reasoning | arXiv: 2602.02823
r2r2 robust representation for intensive experience reuse via redundancy reducti | arXiv: 2605.14026
r3l reasoning 3d layouts from relative spatial relations | arXiv: 2605.06758
rabit residual-aware binarization training for accurate and efficient llms | arXiv: 2602.05367
radar redundancy-aware diffusion for multi-agent communication structure generat | arXiv: 2605.09907
rade random add-drop edge as a regularizer | arXiv: 2606.00757
raigen rare attribute identification in text-to-image generative models | arXiv: 2602.06806
randomized advantage transformation rat computing natural policy gradients via d | arXiv: 2605.18591
rank-learner orthogonal ranking of treatment effects | arXiv: 2602.03517
ranking free rag replacing re-ranking with selection in rag for sensitive domain | arXiv: 2505.16014
rao-blackwellized score matching on manifolds | arXiv: 2605.25567
rapid poison practical poisoning attacks against the rapid response framework | arXiv: 2606.16242
rare event analysis of large language models | arXiv: 2602.06791
rational sparse autoencoder | arXiv: 2606.14990
rays as pixels learning a joint distribution of videos and camera trajectories | arXiv: 2604.09429
real regression-aware reinforcement learning for llm-as-a-judge | arXiv: 2603.17145
real resolving knowledge conflicts in knowledge-intensive visual question answer | arXiv: 2602.14065
realista realistic latent adversarial attacks that elicit llm hallucinations | arXiv: 2605.12813
realizable bayes-consistency for general metric losses | arXiv: 2605.03823
reason then re-reason cross-view revisiting improves spatial reasoning | arXiv: 2606.11683
reasoning can be restored by correcting a few decision tokens | arXiv: 2605.16874
reasoning is not free robust adaptive cost-efficient routing for llm-as-a-judge | arXiv: 2605.10805
reasoning on the manifold bidirectional consistency for self-verification in dif | arXiv: 2604.16565
reasoning structure of large language models | arXiv: 2606.03883
recovering hidden reward in diffusion-based policies | arXiv: 2605.00623
recovering policy-induced errors benchmarking and trajectory synthesis for robus | arXiv: 2605.29447
rectified lpjepa joint-embedding predictive architectures with sparse and maximu | arXiv: 2602.01456
red-teaming agent execution contexts open-world security evaluation on openclaw | arXiv: 2605.11047
referring multiple regions with large multimodal models via contextual latent st | arXiv: 2605.01827
refining context-entangled content segmentation via curriculum selection and ant | arXiv: 2602.01183
reflector internalizing step-wise reflection against indirect jailbreak | arXiv: 2605.20654
reflexgrad within-episode failure recovery in llm agents via progress-gated dual | arXiv: 2511.14584
regret-based federated causal discovery with unknown interventions | arXiv: 2512.23626
reinforced sequential monte carlo for amortised sampling | arXiv: 2510.11711
reinforcement learning for reachability guaranteeing asymptotic optimality | arXiv: 2605.24740
relaxflow text-driven amodal 3d generation | arXiv: 2603.05425
reliable ai needs to externalize implicit knowledge a human-ai collaboration per | arXiv: 2605.02010
reliable to expressive a curriculum for rubric-following safety judges | arXiv: 2606.09165
relo reinforcement learning to localize for visual object tracking | arXiv: 2605.07379
remoe boosting expert reuse through router fine-tuning in memory-constrained moe | arXiv: 2605.27081
repetitioncurse measuring and understanding router imbalance in mixture-of-exper | arXiv: 2512.23995
repo language models with context re-positioning | arXiv: 2512.14391
reqat achieving full-precision reasoning accuracy with 4-bit floating-point quan | arXiv: 2606.15682
reseek a self-correcting framework for search agents with instructive rewards | arXiv: 2510.00568
resolution diagnostics for paired llm evaluation | arXiv: 2605.30315
respinquant efficient layer-wise llm quantization via subspace residual rotation | arXiv: 2604.11080
resrl boosting llm reasoning via negative sample projection residual reinforceme | arXiv: 2605.00380
resting neurons active insights robustify activation sparsity for large language | arXiv: 2512.12744
restoring initial noise sensitivity in text-to-image distillation via geometric | arXiv: 2606.01651
rethink the role of neural decoders in quantum error correction | arXiv: 2605.12046
rethinking contrastive learning for graph collaborative filtering limitations an | arXiv: 2605.24015
rethinking evaluation paradigms in ibp-based certified training | arXiv: 2606.02134
rethinking feature alignment in generalist graph anomaly detection a relational | arXiv: 2605.25429
rethinking fid through the geometry of the reference dataset | arXiv: 2605.29335
rethinking genomic modeling through optical character recognition | arXiv: 2602.02014
rethinking llm ensembling from the perspective of mixture models | arXiv: 2605.00419
rethinking psychometric evaluation of llms when and why self-reports predict beh | arXiv: 2606.12730
rethinking the flow-based gradual domain adaptation a semi-dual optimal transpor | arXiv: 2602.01179
retriever portfolios a principled approach to adaptive rag | arXiv: 2605.31176
retrospect retrosynthesis via sequential prediction and chemically transformed-r | arXiv: 2606.07181
return of frustratingly easy unsupervised video domain adaptation | arXiv: 2605.19510
return-to-go is more than a number q-guided alignment for return-conditioned sup | arXiv: 2605.29028
revenue guarantees of no-swap-regret dynamics in first price auctions | arXiv: 2606.06085
reverse flow matching a unified framework for online reinforcement learning with | arXiv: 2601.08136
reverse-engineering model editing on language models | arXiv: 2602.10134
revis sparse latent steering to mitigate object hallucination in large vision-la | arXiv: 2602.11824
revisiting parameter-based knowledge editing in large language models theoretica | arXiv: 2606.00570
revisiting photometric ambiguity for accurate gaussian-splatting surface reconst | arXiv: 2605.12494
revisiting regularized policy optimization for stable and efficient reinforcemen | arXiv: 2602.10894
revisiting uncertainty on evidential learning for partially relevant video retri | arXiv: 2605.06083
revsi rebuilding visual spatial intelligence evaluation for accurate assessment | arXiv: 2604.24300
reward hacking benchmark measuring exploits in llm agents with tool use | arXiv: 2605.02964
reward modeling from natural language human feedback | arXiv: 2601.07349
reward shaping for inference-time alignment a stackelberg game perspective | arXiv: 2602.02572
reward-free alignment for conflicting objectives | arXiv: 2602.02495
rex a family of reversible exponential stochastic runge-kutta solvers | arXiv: 2502.08834
rgmem renormalization group-inspired memory evolution for language agents | arXiv: 2510.16392
riemannian generative decoder | arXiv: 2506.19133
riemannian meanflow for one-step generation on manifolds | arXiv: 2603.10718
riemannian metric matching for scalable geometric modeling of distributions | arXiv: 2606.14334
riemannian networks over full-rank correlation matrices | arXiv: 2605.19073
right predictions misleading explanations on the vulnerability of vision-languag | arXiv: 2605.16651
rksc reasoning-aware kv cache sharing and confident early exit for multi-step ll | arXiv: 2606.09937
rl-sph learning to achieve feasible solutions for integer linear programs | arXiv: 2411.19517
rl4rla teaching ml to discover randomized linear algebra algorithms through curr | arXiv: 2605.18004
rlve scaling up reinforcement learning for language models with adaptive verifia | arXiv: 2511.07317
rmnp row-momentum normalized preconditioning for scalable matrix-based optimizat | arXiv: 2603.20527
robomme benchmarking and understanding memory for robotic generalist policies | arXiv: 2603.04639
robust in-context reinforcement learning under reward poisoning attacks | arXiv: 2506.06891
robust-u1 can mllms self-recover corrupted visual content for robust understandi | arXiv: 2606.08063
robustness of mixtures of experts to feature noise | arXiv: 2601.14792
roca robust cross-domain end-to-end autonomous driving | arXiv: 2506.10145
rotation-invariant spherical watermarking via third-order so3 representation cou | arXiv: 2605.26702
routejudge an open platform for reproducible and preference-aware llm routing | arXiv: 2606.18774
routing by reaching composition of pre-trained gflownets for multi-objective gen | arXiv: 2602.21565
rq-moe residual quantization via mixture of experts for efficient input-dependen | arXiv: 2605.14359
rt-lynx putting the gemm sparsity in a right way for diffusion models | arXiv: 2605.26632
rule2drc benchmarking llm agents for drc script synthesis with execution-guided | arXiv: 2605.15669
ruleplanner all-in-one reinforcement learner for unifying design rules in 3d flo | arXiv: 2601.22476
sac-opt semantic anchors for iterative correction in optimization modeling | arXiv: 2510.05115
saemnesia erasing concepts in diffusion models with supervised sparse autoencode | arXiv: 2509.21379
safe in-context reinforcement learning | arXiv: 2509.25582
safe reinforcement learning with preference-based constraint inference | arXiv: 2603.23565
safeguarded stochastic polyak step sizes for non-smooth optimization robust perf | arXiv: 2512.02342
safeharbor hierarchical memory-augmented guardrail for llm agent safety | arXiv: 2605.05704
safesearch automated red-teaming of llm-based search agents | arXiv: 2509.23694
safety anchor defending harmful fine-tuning via geometric bottlenecks | arXiv: 2605.05995
safety generalization under distribution shift in safe reinforcement learning a | arXiv: 2601.21094
saliency-aware model merging | arXiv: 2606.00511
same stabilized mixture-of-experts for multimodal continual instruction tuning | arXiv: 2602.01990
same target different basins hard vs soft labels for annotator distributions | arXiv: 2605.20642
sample from what you see visuomotor policy learning via diffusion bridge with ob | arXiv: 2512.07212
saving foundation flow-matching priors for inverse problems | arXiv: 2511.16520
scalable circuit learning for interpreting large language models | arXiv: 2606.16939
scalable gans with transformers | arXiv: 2509.24935
scalable rf simulation in generative 4d worlds | arXiv: 2508.12176
scalable single-cell gene expression generation with latent diffusion models | arXiv: 2511.02986
scale self-uncertainty conditioned adaptive looking and execution for vision-lan | arXiv: 2602.04208
scaling benchmarking and reasoning of vision-language agents for mobile gui navi | arXiv: 2605.27134
scaling by diversified experience for vision-language-action models | arXiv: 2606.09009
scaling continual learning to 300 tasks with bi-level routing mixture-of-experts | arXiv: 2602.03473
scaling depth capacity via zeroone-layer model expansion | arXiv: 2511.04981
scaling laws of global weather models | arXiv: 2602.22962
scaling small agents through strategy auctions | arXiv: 2602.02751
scaling unsupervised multi-source federated domain adaptation through group-wise | arXiv: 2510.08150
scaling vision transformers for functional mri with flat maps | arXiv: 2510.13768
scaling-aware adapter for structure-grounded llm reasoning | arXiv: 2602.02780
scalora optimally scaled low-rank adaptation for efficient high-rank fine-tuning | arXiv: 2510.23818
sccbgm interpretable single-cell counterfactual editing | arXiv: 2606.07760
scenesmith agentic generation of simulation-ready indoor scenes | arXiv: 2602.09153
scheduling llm inference with uncertainty-aware output length predictions | arXiv: 2604.00499
scientific logicality enriched methodology for llm reasoning a practice in physi | arXiv: 2605.17104
scope selective conformal optimized pairwise llm judging | arXiv: 2602.13110
score based error correcting code decoder | arXiv: 2605.28358
score-repellent monte carlo toward efficient non-markovian sampler with constant | arXiv: 2604.22948
scout active information foraging for long-text understanding with decoupled epi | arXiv: 2605.04496
screenparse moving beyond sparse grounding with complete screen parsing supervis | arXiv: 2602.14276
se-ga memory-augmented self-evolution for gui agents | arXiv: 2605.16883
securing multi-agent systems against corruptions via node contribution backpropa | arXiv: 2510.19420
seeing is understanding unlocking causal attention into modality-mutual attentio | arXiv: 2503.02597
seeing realism from simulation efficient video transfer for vision-language-acti | arXiv: 2605.02757
seeing to generalize how visual data corrects binding shortcuts | arXiv: 2602.15183
segment anything with robust uncertainty-accuracy correlation | arXiv: 2605.10603
seizure-semiology-suite s3 a clinically multimodal dataset benchmark and models | arXiv: 2605.21852
select to think unlocking slm potential with local sufficiency | arXiv: 2604.26940
selecting samples on graphs a unified dataset pruning framework for lossless tra | arXiv: 2606.12913
selective coupling of decoupled informative regions masked attention alignment f | arXiv: 2606.04373
self-augmenting retrieval for diffusion language models | arXiv: 2606.06474
self-captioning multimodal interaction tuning amplifying exploitable redundancie | arXiv: 2605.08145
self-debias self-correcting for debiasing large language models | arXiv: 2604.08243
self-evolving llm agents with in-distribution optimization | arXiv: 2606.07367
self-guidance enhancing neural codecs via decoder manifold alignment | arXiv: 2606.12940
self-play only evolves when self-synthetic pipeline ensures learnable informatio | arXiv: 2603.02218
self-prompting diffusion transformer for open-vocabulary scene text editing via | arXiv: 2605.15523
self-prophetic decoding to unlock visual search in lvlms | arXiv: 2605.28741
self-refining video sampling | arXiv: 2601.18577
self-supervised dynamical system representations for physiological time-series | arXiv: 2512.00239
semantic cache distillation efficient state transfer via reuse and selective pat | arXiv: 2606.07684
semantic granularity navigation in image editing | arXiv: 2605.21190
semantic integrity matters benchmarking and preserving high-density reasoning in | arXiv: 2502.01941
semantic router on the feasibility of hijacking mllms via a single adversarial p | arXiv: 2511.20002
semantic-aware motion encoding for topology-agnostic character animation | arXiv: 2605.27055
semantics-enhanced retrieval-augmented time series forecasting | arXiv: 2606.14941
semi-supervised neural super-resolution for mesh-based simulations | arXiv: 2605.09284
semi-supervised noise adaptation transferring knowledge from noise domain | arXiv: 2606.00558
semir semantic minor-induced representation learning on graphs for visual segmen | arXiv: 2605.12389
sequential group composition a window into the mechanics of deep learning | arXiv: 2602.03655
sequential kernel-based conditional independence testing via adaptive betting | arXiv: 2606.18993
sft overtraining predicts rank inversion via entropy collapse under rlvr | arXiv: 2606.18487
sgmd score gradient matching distillation for few-step video diffusion distillat | arXiv: 2605.30116
shapleig bayesian experimental design for shapley value estimation | arXiv: 2606.02247
shapley neuron values for continual learning which neurons matter most | arXiv: 2605.15877
sharp description of local minima in the loss landscape of high-dimensional two- | arXiv: 2604.09412
shift-dependent asymmetry orthogonal inverse low-rank adaptation for federated m | arXiv: 2606.08687
shifting the breaking point of flow matching for multi-instance editing | arXiv: 2602.08749
siamesenorm breaking the barrier to reconciling prepost-norm | arXiv: 2602.08064
sigma structure-invariant generative molecular alignment for chemical language m | arXiv: 2603.25062
sign lock-in randomly initialized weight signs persist and bottleneck sub-bit mo | arXiv: 2602.17063
simpc learning self-induced mirror-point consistency for unsupervised point clou | arXiv: 2605.26894
simple algorithms for bad triangle transversals with applications to correlation | arXiv: 2602.04463
simple approximation and derivative free inference-time scaling for diffusion mo | arXiv: 2605.17850
simulation-augmented multi-step split conformal prediction for aggregated foreca | arXiv: 2606.16356
simultaneous multi-objective alignment across verifiable and non-verifiable rewa | arXiv: 2510.01167
single-rollout hidden-state dynamics for training-free rlvr data selection | arXiv: 2605.28631
singular bayesian neural networks | arXiv: 2602.00387
singular vectors of attention heads align with features | arXiv: 2602.13524
site4drug predicting drug-binding target sites with an ai agent | arXiv: 2606.01816
skelhcc a hyperbolic clip-driven cache adaptation framework for skeleton-based o | arXiv: 2606.03610
skill-based mixture-of-experts adaptive routing for heterogeneous reasoning via | arXiv: 2503.05641
skill-pro learning reusable skills from experience via non-parametric ppo for ll | arXiv: 2602.01869
skip a layer or loop it learning program-of-layers in llms | arXiv: 2606.06574
skipping the zeros in diffusion models for sparse data generation | arXiv: 2605.01817
slap the semantic least action principle for variational video-language modeling | arXiv: 2605.30750
slay geometry-aware spherical linearized attention with yat-kernel | arXiv: 2602.04915
slq bridging modalities via shared latent queries for retrieval with frozen mllm | arXiv: 2604.13710
smartthinker progressive chain-of-thought length calibration for efficient large | arXiv: 2603.08000
smoothing slot attention iterations and recurrences | arXiv: 2508.05417
smoothness errors in dynamics models and how to avoid them | arXiv: 2602.05352
softmoe soft differentiable routing for mixture-of-experts in llms | arXiv: 2606.17952
softplus attention with re-weighting boosts length extrapolation in large langua | arXiv: 2501.13428
solar self-supervised joint learning for symmetric multimodal retrieval | arXiv: 2605.15868
solving inverse problems with flow-based models via model predictive control | arXiv: 2601.23231
sonar-ts search-then-verify natural language querying for time series databases | arXiv: 2602.17001
sora free second-order attacks in fast adversarial training | arXiv: 2606.00738
spa-cache singular proxies for adaptive caching in diffusion language models | arXiv: 2602.02544
space-sampled value decay forgetting mechanisms for non-stationary deep reinforc | arXiv: 2606.11797
spard defending harmful fine-tuning attack via safety projection with relevance- | arXiv: 2605.28030
spare stacked parallelism with adaptive reordering for fault-tolerant llm pretra | arXiv: 2603.00357
sparse attention to the details preserving spectral fidelity in ml-based weather | arXiv: 2604.16429
sparse autoencoders are topic models | arXiv: 2511.16309
sparse autoencoders for interpretable emotion control in text-to-speech | arXiv: 2606.01479
sparse tokens suffice jailbreaking audio language models via token-aware gradien | arXiv: 2605.04700
sparser block-sparse attention via token permutation | arXiv: 2510.21270
spatia multimodal generation and prediction of spatial cell phenotypes | arXiv: 2507.04704
spatial memory for out-of-vision manipulation in vision-language-action | arXiv: 2605.22283
spatial priors via space filling curves for small and limited data vision transf | arXiv: 2606.14757
spatialreward bridging the perception gap in online rl for image editing via exp | arXiv: 2602.07458
spatiotemporal imputation with graph-informed flow matching | arXiv: 2606.06682
specprune-vla accelerating vision-language-action models via action-aware self-s | arXiv: 2509.05614
spectral guidance for flexible and efficient control of diffusion models | arXiv: 2605.28900
spectral-progressive thought flow for lightweight multimodal reasoning | arXiv: 2606.02842
spectrally regularized latent flow matching for turbulence generation | arXiv: 2606.11691
speculative coupled decoding for training-free lossless acceleration of autoregr | arXiv: 2510.24211
speculative sampling for faster molecular dynamics | arXiv: 2606.02455
speed-bench a unified and diverse benchmark for speculative decoding | arXiv: 2604.09557
sphere mitigating the loss of spectral plasticity in mixture-of-experts for deep | arXiv: 2605.04712
spherical steering geometry-aware activation rotation for language models | arXiv: 2602.08169
sphericaldreamer generating navigable immersive 3d worlds with panorama fusion | arXiv: 2605.19974
splattn bridging 2d and 3d with gaussian soft splatting and attention for point | arXiv: 2605.01466
ssr-merge subspace signal routing for training-free lora merging in diffusion mo | arXiv: 2606.10617
stability analysis of sharpness-aware minimization | arXiv: 2301.06308
stabilizing recurrent dynamics for test-time scalable latent reasoning in looped | arXiv: 2605.26733
stable simulation-ready tabletop layout generation via a semantics-physics dual | arXiv: 2605.16137
stable velocity a variance perspective on flow matching | arXiv: 2602.05435
stable-gflownet toward diverse and robust llm red-teaming via contrastive trajec | arXiv: 2605.00553
stablevla towards robust vision-language-action models without extra data | arXiv: 2605.18287
stage-wise distortion-perception traversal in zero-shot inverse problems with di | arXiv: 2605.28711
star rethinking moe routing as structure-aware subspace learning | arXiv: 2606.08814
stare step-wise temporal alignment and red-teaming engine for multi-modal toxici | arXiv: 2605.00699
statistical consistency and generalization of contrastive representation learnin | arXiv: 2605.02116
steer like the llm activation steering that mimics prompting | arXiv: 2605.03907
steerable cultural preference optimization of reward models | arXiv: 2606.18606
steering beyond the support adversarial training on unsupervised jailbroken acti | arXiv: 2605.24535
stein diffusion guidance training-free posterior correction for sampling beyond | arXiv: 2507.05482
step warm-started visuomotor policies with spatiotemporal consistency prediction | arXiv: 2602.08245
stochastic minimum-cost reach-avoid reinforcement learning | arXiv: 2605.11975
stochastic sparse attention for memory-bound inference | arXiv: 2605.01910
stop automating peer review without rigorous evaluation | arXiv: 2605.03202
stop when further reasoning wont help attention-state adaptive generation in rea | arXiv: 2606.15070
storm segment track and object re-localization from a single image | arXiv: 2511.09771
streaming sliced optimal transport | arXiv: 2505.06835
stride post-training llms to reason and refine bio-sequences via edit trajectori | arXiv: 2603.03573
structure-centric graph foundation model via geometric bases | arXiv: 2605.08689
structure-induced information for rerooting levin tree search | arXiv: 2605.30664
structured diffusion bridges inductive bias for denoising diffusion bridges | arXiv: 2605.02973
structuring the future diffusion llm speculative decoding via calibrated draft g | arXiv: 2509.18085
suco sufficiency-guided continuous adaptive reasoning | arXiv: 2606.17687
supervise less see more training-free nuclear instance segmentation with prototy | arXiv: 2511.19953
supervised graph contrastive learning for gene regulatory networks | arXiv: 2505.17786
support-proximity augmented diffusion estimation for offline black-box optimizat | arXiv: 2605.11246
surf separation via unsupervised remixing flow | arXiv: 2606.04921
surge approximation and training free particle filter for diffusion surrogate | arXiv: 2605.18745
surge surrogate gradient adaptation in binary neural networks | arXiv: 2605.10989
svl spike-based vision-language pretraining for efficient 3d open-world understa | arXiv: 2505.17674
svrg and beyond via posterior correction | arXiv: 2512.01930
swe-if aligning code evaluation with human preference | arXiv: 2510.07315
swe-rebench v2 language-agnostic swe task collection at scale | arXiv: 2602.23866
swift-svd theoretical optimality meets practical efficiency in low-rank llm comp | arXiv: 2604.01609
switchcraft a programmatic framework for designing state-switching proteins | arXiv: 2605.31236
symerge from non-interference to synergistic merging via single-layer adaptation | arXiv: 2412.19098
synermedgen synergizing medical multimodal understanding with generation via tas | arXiv: 2605.08724
systematic failures in collective reasoning under distributed information in mul | arXiv: 2505.11556
t-ginee a tensor-based multilayer graph representation learning | arXiv: 2605.28300
t-pop test-time personalization with online preference feedback | arXiv: 2509.24696
t2av-compass towards unified evaluation for text-to-audio-video generation | arXiv: 2512.21094
t2po uncertainty-guided exploration control for stable multi-turn agentic reinfo | arXiv: 2605.02178
tabmgp martingale posterior with tabpfn | arXiv: 2510.25154
tabswift an efficient tabular foundation model with row-wise attention | arXiv: 2606.07345
tada-bench a million-variant benchmark for future-round discovery toward agentic | arXiv: 2606.02624
tag tangential amplifying guidance for hallucination-resistant sampling | arXiv: 2510.04533
tailoring strictly proper scoring rules for downstream tasks an application to c | arXiv: 2606.03332
talk judge cooperate gossip-driven indirect reciprocity in self-interested llm a | arXiv: 2602.07777
taming the loss landscape of pinns with noisy feynman-kac supervision operator p | arXiv: 2606.00643
tapsampling inference-time sampling with a task-progress-understanding verifier | arXiv: 2605.25547
target-agnostic calibration under distribution shift with frequency-aware gradie | arXiv: 2508.19830
task-aware structured memory for dynamic multi-modal in-context learning | arXiv: 2606.11853
task-driven subspace decomposition for knowledge sharing and isolation in lora-b | arXiv: 2603.00191
task-restricted symmetries in recurrent weight space | arXiv: 2606.18457
tcap tri-component attention profiling for unsupervised backdoor detection in ml | arXiv: 2601.21692
td3b transition-directed discrete diffusion for allosteric binder generation | arXiv: 2605.09810
teaching molecular dynamics to a non-autoregressive ionic transport predictor | arXiv: 2605.09311
team temporal-spatial consistency guided expert activation for moe diffusion lan | arXiv: 2602.08404
tempora characterising the time-contingent utility of online test-time adaptatio | arXiv: 2602.06136
temporal difference learning for diffusion models | arXiv: 2606.15048
temporal preference optimization for unsupervised retrieval | arXiv: 2606.17664
temporal score rescaling for temperature sampling in diffusion and flow models | arXiv: 2510.01184
temporal-aware reasoning optimization for video temporal grounding | arXiv: 2606.09248
test time training enhances in-context learning of nonlinear functions | arXiv: 2509.25741
test-time training for visual foresight vision-language-action models | arXiv: 2605.08215
test-time training with kv binding is secretly linear attention | arXiv: 2602.21204
testing the test score-direction instability in class-split anomaly detection | arXiv: 2606.02601
text-conditional jepa for learning semantically rich visual representations | arXiv: 2605.03245
textual supervision enhances geospatial representations in vision-language model | arXiv: 2606.07172
tgv-kv text-grounded kv eviction for vision-language models | arXiv: 2606.03075
the acute protocol operationalizing language model activations for better calibr | arXiv: 2606.07822
the bridge-garden dilemma in llm distillation why mixing hard and soft labels wo | arXiv: 2605.26246
the cost of learning under multiple change points | arXiv: 2602.11406
the coupling within flow matching via distilled normalizing flows | arXiv: 2603.09014
the cylindrical representation hypothesis for language model steering | arXiv: 2605.01844
the data manifold under the microscope | arXiv: 2606.15760
the deterministic horizon when extended reasoning fails and tool delegation beco | arXiv: 2606.00376
the devil is in the condition numbers why is glu better than non-glu structure | arXiv: 2605.20749
the discrete-log clock how a transformer learns modular multiplication | arXiv: 2606.17399
the double dilemma in multi-task radiology report generation a gradient dynamics | arXiv: 2605.22635
the easy the hard and the learnable confidence and difficulty-adaptive policy op | arXiv: 2606.07950
the expert strikes back interpreting mixture-of-experts language models at exper | arXiv: 2604.02178
the expressive power of low precision softmax transformers with summarized chain | arXiv: 2605.18079
the geometric mechanics of contrastive representation learning alignment potenti | arXiv: 2601.19597
the geometry of projection heads conditioning invariance and collapse | arXiv: 2605.17180
the implicit bias of adam and muon on smooth homogeneous neural networks | arXiv: 2602.16340
the injection paradox brand-level suppression in safety-trained llm recommendati | arXiv: 2606.09204
the labyrinth and the thread rethinking regularizations in sequential knowledge | arXiv: 2605.26670
the latent color subspace emergent order in high-dimensional chaos | arXiv: 2603.12261
the lie we tell correcting the euclidean fallacy in vision language action polic | arXiv: 2606.01847
the marginal value of a search ad an online causal framework for repeated second | arXiv: 2605.01756
the obfuscation atlas mapping where honesty emerges in rlvr with deception probe | arXiv: 2602.15515
the perceived fragility of explanations in audio models manipulation of attribut | arXiv: 2606.14466
the perception-physics paradox probing scientific alignment with tc-bench | arXiv: 2605.24782
the perceptual bandwidth bottleneck in vision-language models active visual reas | arXiv: 2605.01345
the quality-utility paradox why high-reward data impairs small model mathematica | arXiv: 2606.16152
the realignment problem when right becomes wrong in llms | arXiv: 2511.02623
the role of feedback alignment in self-distillation | arXiv: 2606.11173
the shape of addition geometric structures of arithmetic in large language model | arXiv: 2606.03645
the shape of reasoning topological analysis of reasoning traces in large languag | arXiv: 2510.20665
the silent thought modeling internal cognition in full-duplex spoken dialogue mo | arXiv: 2603.17837
the structural origin of attention sink variance discrepancy super neurons and d | arXiv: 2605.06611
the surprising difficulty of search in model-based reinforcement learning | arXiv: 2601.21306
the synthetic web adversarially-curated mini-internets for diagnosing epistemic | arXiv: 2603.00801
the truth stays in the family enhancing contextual grounding via inherited truth | arXiv: 2606.15821
the unlearnability phenomenon in rlvr for language models | arXiv: 2605.16787
theoretical analysis of sparse optimization with reparameterization weight decay | arXiv: 2605.25134
theoretically optimal attentionffn ratios in disaggregated llm serving | arXiv: 2601.21351
think less act early reinforced latent reasoning with early exit in vision-langu | arXiv: 2606.15099
think twice before you act enhancing agent behavioral safety with thought correc | arXiv: 2505.11063
thinking in scales accelerating gigapixel pathology image analysis via adaptive | arXiv: 2605.19491
thinking in structures evaluating spatial intelligence in constraint-governed sp | arXiv: 2602.07864
three years of rchatgpt societal impact evaluations from social media data | arXiv: 2606.05750
threshold-based exclusive batching for llm inference | arXiv: 2606.00516
threshold-guided optimization for visual generative models | arXiv: 2605.04653
through the stealth lens attention-aware defenses against poisoning in rag | arXiv: 2506.04390
tidegs scalable training of over one billion 3d gaussian splatting primitives vi | arXiv: 2605.20150
time-series forecasting through the lens of dynamics | arXiv: 2507.15774
timeguard channel-wise pool training for backdoor defense in time series forecas | arXiv: 2605.22365
timeomni-vl unified models for time series understanding and generation | arXiv: 2602.17149
timerewarder learning dense reward from passive videos via frame-wise temporal d | arXiv: 2509.26627
timespot benchmarking geo-temporal understanding in vision-language models in re | arXiv: 2603.06687
timestep rescheduling in diffusion inversion | arXiv: 2606.15389
tinns time-induced neural networks for solving time-dependent pdes | arXiv: 2601.20361
toast token channel selection and structured pruning for efficient vit | arXiv: 2602.15720
token sparse attention efficient long-context inference with interleaved token s | arXiv: 2602.03216
token-efficient change detection in llm apis | arXiv: 2602.11083
toolmath a math tool benchmark for realistic long-horizon multi-tool reasoning | arXiv: 2602.21265
topology-preserving neural operator learning via hodge decomposition | arXiv: 2605.13834
torus graphs for large scale neural phase analysis | arXiv: 2606.00496
toward robust multilingual adaptation of llms for low-resource languages | arXiv: 2510.14466
toward scalable and valid conditional independence testing with spectral represe | arXiv: 2512.19510
toward stable value alignment introducing independent modules for consistent val | arXiv: 2605.11712
toward structural multimodal representations specialization selection and sparsi | arXiv: 2605.03348
toward training superintelligent software agents through self-play swe-rl | arXiv: 2512.18552
toward understanding adversarial distillation why robust teachers fail | arXiv: 2605.21999
towards a generative protein evolution machine with dplm-evo | arXiv: 2605.00182
towards a holistic understanding of selection bias for causal effect identificat | arXiv: 2605.13430
towards a science of ai agent reliability | arXiv: 2602.16666
towards atoms of large language models | arXiv: 2509.20784
towards context-invariant safety alignment for large language models | arXiv: 2605.20994
towards diverse scientific hypothesis search with large language models | arXiv: 2606.10587
towards effective waste segmentation for automated waste recycling in cluttered | arXiv: 2606.13587
towards efficient and expressive offline rl via flow-anchored noise-conditioned | arXiv: 2605.01663
towards efficient large language reasoning models via extreme-ratio chain-of-tho | arXiv: 2602.08324
towards feedback-to-plan decisions for self-evolving llm agents in cuda kernel g | arXiv: 2605.26720
towards fine-grained robustness attention-guided test-time prompt tuning for vis | arXiv: 2605.19956
towards functional correctness of large code models with selective generation | arXiv: 2505.13553
towards long-horizon interpretability efficient and faithful multi-token attribu | arXiv: 2602.01914
towards one-for-all anomaly detection for tabular data | arXiv: 2603.14407
towards optimal robustness in learning-augmented paging | arXiv: 2606.01342
towards pareto-optimal tool-integrated agents with pareto ranking policy optimiz | arXiv: 2606.16111
towards resource-efficient llms end-to-end energy accounting of distillation pip | arXiv: 2605.13981
towards steering without sacrifice principled training of steering vectors for p | arXiv: 2605.05983
towards streaming synchronized spatial audio generation via autoregressive diffu | arXiv: 2605.30940
towards understanding adam convergence on highly degenerate polynomials | arXiv: 2603.09581
towards understanding continual factual knowledge acquisition of language models | arXiv: 2605.10640
towards understanding modality interaction in multimodal language models via par | arXiv: 2606.00959
towards universal gene regulatory network inference unlocking generalizable regu | arXiv: 2605.08128
tpv parameter perturbations through the lens of test prediction variance | arXiv: 2512.11089
trace toulmin-based reasoning assessment through constructive elements for llm c | arXiv: 2605.29656
tracer persistent regularization for robust multimodal finetuning | arXiv: 2605.29380
tracing the dynamics of refusal exploiting latent refusal trajectories for robus | arXiv: 2605.02958
tracking drift variation-aware entropy scheduling for non-stationary reinforceme | arXiv: 2601.19624
trading complexity for expressivity through structured generalized linear token | arXiv: 2605.31367
train once reuse everywhere generalizable implicit in-context learning by routin | arXiv: 2509.22854
training diffusion language models for black-box optimization | arXiv: 2603.17919
training-free coverless multi-image steganography with access control | arXiv: 2603.09390
training-inference consistent segmented execution for long-context llms | arXiv: 2605.11744
training-trajectory-aware token selection | arXiv: 2601.10348
trajectory-level data augmentation for offline reinforcement learning | arXiv: 2605.13401
transferable multi-bit watermarking across frozen diffusion models via latent co | arXiv: 2603.20304
transformed latent variable multi-output gaussian processes | arXiv: 2605.05133
transitivity meets cyclicity explicit preference decomposition for dynamic large | arXiv: 2605.17342
trap hijacking vla cot-reasoning via adversarial patches | arXiv: 2603.23117
tree-structured orthonormal decomposition of the aitchison simplex | arXiv: 2606.11646
triadic dynamics aware diffusion posterior sampling for inverse problems optimiz | arXiv: 2605.26470
triforces augmenting atomistic gnns for transferable representations | arXiv: 2605.20581
trust functions near-lossless weak-to-strong generalization by learning when to | arXiv: 2606.01000
trust it or not evidential uncertainty for feed-forward 3d reconstruction with t | arXiv: 2605.19539
truthrl incentivizing truthful llms via reinforcement learning | arXiv: 2509.25760
tsrbench a comprehensive multi-task multi-modal time series reasoning benchmark | arXiv: 2601.18744
tuneahead predicting fine-tuning performance before full training begins | arXiv: 2606.17660
tuning the implicit regularizer of masked diffusion language models enhancing ge | arXiv: 2601.22450
tur-dpo topology- and uncertainty-aware direct preference optimization | arXiv: 2605.00224
turning adaptation into assets cross-domain bridging for online vision-language | arXiv: 2605.23257
turning back without forgetting selective backward refinement for parameter-effi | arXiv: 2606.01379
turning bias into bugs bandit-guided style manipulation attacks on llm judges | arXiv: 2605.26156
turning drift into constraint robust reasoning alignment in non-stationary envir | arXiv: 2510.04142
turning stale gradients into stable gradients coherent coordinate descent with i | arXiv: 2605.14373
twla achieving ternary weights and low-bit activations for llms via post-trainin | arXiv: 2606.13054
two-dimensional quantization for geometry-aware audio coding | arXiv: 2512.01537
two-layer linear auto-regressive models estimate latent states | arXiv: 2606.12691
u-cast a surprisingly simple and efficient frontier probabilistic ai weather for | arXiv: 2604.09041
ub-smoe universally balanced sparse mixture-of-experts for resource-adaptive fed | arXiv: 2605.16690
ubiquity of emergent hebbian dynamics in regularized learning | arXiv: 2505.18069
ucpo uncertainty-aware policy optimization | arXiv: 2601.22648
udm-grpo stable and efficient group relative policy optimization for uniform dis | arXiv: 2604.18518
uground towards unified visual grounding with unrolled transformers | arXiv: 2510.03853
unbiased and second-order-free training for high-dimensional pdes | arXiv: 2605.14643
understand and accelerate memory processing pipeline for disaggregated llm infer | arXiv: 2603.29002
understanding catastrophic forgetting in lora via mean-field attention dynamics | arXiv: 2402.15415
understanding generalization and forgetting in in-context continual learning | arXiv: 2605.28705
understanding lora as knowledge memory an empirical analysis | arXiv: 2603.01097
understanding self-supervised learning via latent distribution matching | arXiv: 2605.03517
understanding the parameter space geometry of transformers encoding boolean func | arXiv: 2606.08768
understanding truncated positional encodings for graph neural networks | arXiv: 2606.13671
unhype clip-guided hypernetworks for dynamic lora unlearning | arXiv: 2602.03410
unified multimodal visual tracking with dual mixture-of-experts | arXiv: 2605.03716
unifying dataset pruning and distillation for efficient large-scale compression | arXiv: 2502.06434
unifying masked diffusion models with various generation orders and beyond | arXiv: 2602.02112
unifying value alignment and assignment in cross-domain offline reinforcement le | arXiv: 2605.24862
unirtl unifying code and graph for robust rtl representation learning | arXiv: 2605.31040
uniscale adaptive unified inference scaling via online joint optimization of mod | arXiv: 2605.30898
unisvq 2-bit unified scalar-vector quantization | arXiv: 2606.10520
universal one-third time scaling in learning peaked distributions | arXiv: 2602.03685
universal reasoner a single composable plug-and-play reasoner for frozen llms | arXiv: 2505.19075
universal skeleton understanding via differentiable rendering and mllms | arXiv: 2603.18003
unlearning in diffusion models a unified framework with kl divergence and likeli | arXiv: 2605.30825
unlearning isnt deletion investigating reversibility of machine unlearning in ll | arXiv: 2505.16831
unlearnings blind spots over-unlearning and prototypical relearning attack | arXiv: 2506.01318
unlocking zero-shot geospatial reasoning via indirect rewards | arXiv: 2510.00072
unraveling syntax language modeling and the substructure of grammars | arXiv: 2510.02524
unsat core prediction through polarity-aware representation learning over clause | arXiv: 2605.04819
unsupervised hierarchical skill discovery | arXiv: 2601.23156
unveiling multi-regime patterns in sciml distinct failure modes and regime-speci | arXiv: 2605.29153
unveiling the structure of do-calculus reasoning via derivation graphs | arXiv: 2606.03719
unveiling the visual counting bottleneck in vision-language models | arXiv: 2605.30170
uotip unbalanced optimal transport map for unpaired inverse problems | arXiv: 2605.21094
urs a unified neural routing solver for cross-problem zero-shot generalization | arXiv: 2509.23413
utility-diversity aware online batch selection for llm supervised fine-tuning | arXiv: 2510.16882
v-lynx token interface alignment for videox llms | arXiv: 2606.00508
v2v-bench a comprehensive benchmark for video-to-video generation evaluation | arXiv: 2606.05665
valueflow toward pluralistic and steerable value-based alignment in large langua | arXiv: 2602.03160
vanim rendering-aware sparse state modeling for structure-preserving vector anim | arXiv: 2605.01517
variable clustering via distributionally robust nodewise regression | arXiv: 2212.07944
variational adapter for cross-modal similarity representation | arXiv: 2605.30968
variational routing a scalable bayesian framework for calibrated mixture-of-expe | arXiv: 2603.09453
vector linking via cross-model local isometric consistency | arXiv: 2605.31100
veda scalable video diffusion via distilled sparse attention | arXiv: 2605.30325
verified shap provable bounds for exact shapley values of neural networks | arXiv: 2605.24084
verifying meta-awareness via predictive rewards in reasoning models | arXiv: 2510.03259
very efficient listwise multimodal reranking for long documents | arXiv: 2605.11864
via-sd verification via intra-model routing for speculative decoding | arXiv: 2606.12243
video-based optimal transport for feedback-efficient offline preference-based re | arXiv: 2606.16856
video-mtr reinforced multi-turn reasoning for long video understanding | arXiv: 2508.20478
video2gui synthesizing large-scale interaction trajectories for generalized gui | arXiv: 2605.14747
videogpa distilling geometry priors for 3d-consistent video generation | arXiv: 2601.23286
videokr towards knowledge- and reasoning-intensive video understanding | arXiv: 2606.05259
videoseal mitigating evidence misalignment in agentic long video understanding b | arXiv: 2605.12571
videotemp-o3 harmonizing temporal grounding and video understanding in agentic t | arXiv: 2602.07801
view space learning representation across arbitrary graphs | arXiv: 2512.11561
viewmask-1-to-3 multi-view consistent image generation via multimodal discrete d | arXiv: 2512.14099
viral proteins reveal geometry of protein language models | arXiv: 2606.12609
vision language models cannot reason about physical transformation | arXiv: 2603.07109
vision transformer finetuning benefits from non-smooth components | arXiv: 2602.06883
vision-aligned latent reasoning for multi-modal large language model | arXiv: 2602.04476
vision-language asymmetry in bistable image captioning | arXiv: 2606.08031
visionpulse dynamic visual sparsity for efficient multimodal reasoning | arXiv: 2605.31457
visual implicit autoregressive modeling | arXiv: 2605.01220
visual persuasion what influences decisions of vision-language models | arXiv: 2602.15278
vla-arena an open-source framework for benchmarking vision-language-action model | arXiv: 2512.22539
vlanext recipes for building strong vla models | arXiv: 2602.18532
vocsim a training-free benchmark for zero-shot content identity in single-source | arXiv: 2512.10120
voting protocols as coordination mechanisms for role-constrained multi-agent tut | arXiv: 2606.08030
vpd-100k towards generalizable and fine-grained visual privacy protection | arXiv: 2605.10229
vscd video-based scene change detection in unaligned scenes | arXiv: 2605.20821
vulnerable agent identification in large-scale multi-agent reinforcement learnin | arXiv: 2509.15103
warmserve enabling one-for-many gpu prewarming for multi-llm serving | arXiv: 2512.09472
watch your step information injection in diffusion models via shadow timestep em | arXiv: 2605.00935
watermarking llm agent trajectories | arXiv: 2602.18700
weak diffusion priors can still achieve strong inverse-problem performance | arXiv: 2601.22443
weasel out-of-domain generalization for web agents via importance-diversity data | arXiv: 2605.20291
weathersyn an instruction tuning mllm for weather forecasting report generation | arXiv: 2605.07522
web agents should use typed actions instead of click-based browsing | arXiv: 2602.17245
westworld a knowledge-encoded scalable trajectory world model for diverse roboti | arXiv: 2603.14392
what does vision tool-use reinforcement learning really learn disentangling tool | arXiv: 2602.01334
what linear probes miss multi-view probing for weight-space learning | arXiv: 2605.23410
what makes a desired graph for relational deep learning | arXiv: 2606.08491
what makes a representation good for single-cell perturbation prediction | arXiv: 2605.19343
what makes synthetic data effective in image segmentation | arXiv: 2605.19289
what really improves mathematical reasoning structured reasoning signals beyond | arXiv: 2605.19762
what structural inductive bias helps transformers reason over knowledge graphs a | arXiv: 2602.02834
what you think is what you see driving exploration in vlm agents via visual-ling | arXiv: 2605.03782
when ai benchmarks plateau a systematic study of benchmark saturation | arXiv: 2602.16763
when benign inputs lead to severe harms eliciting unsafe unintended behaviors of | arXiv: 2602.08235
when distance distracts representation distance bias in bt-loss for reward model | arXiv: 2512.06343
when do graph foundation models transfer a data-centric theory | arXiv: 2605.29828
when hallucination costs millions benchmarking ai agents in high-stakes adversar | arXiv: 2510.00332
when preference labels fall short aligning diffusion models from real data | arXiv: 2605.19839
when sample selection bias precipitates model collapse | arXiv: 2606.13732
when shared knowledge hurts spectral over-accumulation in model merging | arXiv: 2602.05536
when should an ai scientist stop verifiable experiment steering and refusal for | arXiv: 2606.07576
when softmax fails at the top extreme value corrections for infonce | arXiv: 2606.00262
when the chain of thought knows better failure modes in multi-turn reasoning mod | arXiv: 2606.10740
when to re-plan subgoal persistence in hierarchical latent reasoning | arXiv: 2606.03741
where computation lives inside tabpfn causal localisation of attention head func | arXiv: 2606.12917
where concept erasure should occur concept-layer alignment in text-to-video diff | arXiv: 2605.25941
where rectified flows leak characterising membership signals along the interpola | arXiv: 2606.07271
wheres the plan locating latent planning in language models with lightweight mec | arXiv: 2605.07984
which anatomy matters under limited labels a data-efficient anatomy-aware benchm | arXiv: 2606.06509
who can we trust llm-as-a-jury for comparative assessment | arXiv: 2602.16610
who flips self- and cross-model counterarguments reveal answer instability in ll | arXiv: 2606.16011
whom to query for what adaptive group elicitation via multi-turn llm interaction | arXiv: 2602.14279
whose alignment comparing llm process alignment across diverse organizational de | arXiv: 2605.25256
why are linear rnns more parallelizable | arXiv: 2603.03612
why linear interpretability works invariant subspaces as a result of architectur | arXiv: 2602.09783
why specialist models still matter a heterogeneous multi-agent paradigm for medi | arXiv: 2605.29744
wind weather inverse diffusion for zero-shot atmospheric modeling | arXiv: 2602.03924
winq accelerating quantization-aware training of language models around saddle p | arXiv: 2605.17471
wise a world knowledge-informed semantic evaluation for text-to-image generation | arXiv: 2503.07265
world-r1 reinforcing 3d constraints for text-to-video generation | arXiv: 2604.24764
worldcache accelerating world models for free via heterogeneous token caching | arXiv: 2603.06331
wush near-optimal adaptive transforms for llm quantization | arXiv: 2512.00956
xkv cross-layer kv-cache compression via aligned singular vector extraction | arXiv: 2503.18893
xtransfer modality-agnostic few-shot model transfer for human sensing at the edg | arXiv: 2506.22726
you can learn tokenization end-to-end with reinforcement learning | arXiv: 2602.13940
you dont need all that attention surgical memorization mitigation in text-to-ima | arXiv: 2603.00133
zero-flow encoders | arXiv: 2602.00797
zero-shot 3d question answering via hierarchical view-to-token transportation | arXiv: 2606.03100
zero-source llm hallucination detection with human-like criteria probing | arXiv: 2606.12900
zeroth-order non-log-concave sampling with variance reduction and applications t | arXiv: 2605.30573
zipmoe efficient on-device moe serving via lossless compression and cache-affini | arXiv: 2601.21198
α-pfn fast entropy search via in-context learning | arXiv: 2606.07134