💬 LLM (Other)

🧠 NeurIPS2026 · 2 paper notes

📌 Same area in other venues: 🎞️ ECCV2026 (13) · 📷 CVPR2026 (3) · 🔬 ICLR2026 (55) · 💬 ACL2026 (61) · 🧪 ICML2026 (39) · 🤖 AAAI2026 (29)

Mutable Transcripts: Mitigating Context Pollution through Editable Conversation State

The paper lets users rewrite the state of an entire conversation through natural language rather than append more corrective messages; a controlled study with 17 participants supports usability, and three representative cases show shorter retained transcripts, without establishing improvements in long-term task performance or total API cost.

One Threshold Does Not Fit All Languages: Language-Conditional Deferral for Reliable and Efficient Low-Resource Text Classification

The paper assigns per-language conformal thresholds to a single inexpensive multilingual classifier, addressing language-specific coverage gaps hidden by pooled calibration while exposing human-review costs; the guarantee concerns wrong automatic outputs over all traffic, not accuracy conditional on automatic output.