📊 LLM Evaluation

🎞️ ECCV2026 · 3 paper notes

📌 Same area in other venues: 🔬 ICLR2026 (131) · 💬 ACL2026 (96) · 🧪 ICML2026 (40) · 🤖 AAAI2026 (16) · 🧠 NeurIPS2025 (38) · 📹 ICCV2025 (27)

SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation

SVGEval moves the evaluation target of text-to-SVG from the SVG code to the rendered outcome that users actually see: it builds a 500-instance binary-diagnosis plus 500-instance 1–5 scoring benchmark over a four-dimension rubric (Aesthetic, Semantic, Spatial, Structural) with multi-round human annotation and expert adjudication, then distills an explainable scorer that reads both the rendering and the code and outputs dimension-wise scores with evidence-grounded rationales — cutting MAE from 0.71 (best general model) to 0.58 and lifting ±1 adjacent accuracy from 66.6% to 72.0%.

ExpertEdit: Learning Skill-Aware Motion Editing from Expert Videos

Addressing the lack of paired novice-expert data and explicit editing prompts, ExpertEdit learns an expert motion prior strictly from unpaired expert videos via masked motion infilling, selectively projecting novice executions at kinematic peaks onto the learned expert manifold to enable guidance-free skill refinement.

LASER: A Corrective Lens for LVLMs via Visual Attention Preservation and Sink Suppression

To tackle visual forgetting and attention sink collapse during long-horizon reasoning in LVLMs, LASER introduces a GRPO-based post-training framework that pairs a visual grounding reward with a sink suppression reward, simultaneously regulating temporal attention decay and spatial intra-visual allocation to boost multimodal reasoning and perceptual grounding.