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STI-OPD: A Probabilistic Teacher Intervention for Multi-Step Agentic Tasks
Junnan Liu and co-authors introduce STI-OPD, a language model distillation framework with adaptive teacher intervention. The method outperforms baseline approaches…

MASA Reframes LLM Sparse Attention as Matrix Approximation
A new preprint proposes selecting sparse-attention elements by their contribution to matrix-product error, not by weight magnitude. The method plugs into existing…

Routed Sparse Autoencoders Separate Words From Intonation in Speech on WavLM and SPEAR
A new TopK autoencoder method sends speech content and voice with emotion down separate routes. Tested on two encoders, two corpora and independent probes.

Wieszcz-XIX: A 3.1-Billion-Word Polish Corpus From Before 1918 Trains Models From Scratch

Diffu-LoRA Lets the Adapter Decide Which Stable Diffusion Layers Need Rank

GenUI-Harness Lifts a 4B Model From 9.33% to 58% Pass@3, Beating Claude Opus 5

OpenProblemBench: GPT-6-Astra Solves 14% of Open Math and Physics Problems

AgentHorizon: Best Judge GPT-5.5 Scores Only 80.9% on Long Agent Tasks
The new AgentHorizon benchmark tests whether LLM judges can grade long computer-use agent runs. The best result: 80.9% balanced accuracy from GPT-5.5.

Two Distillation Schemes Make AI Students Reveal Their Teachers' Hidden Behavior
An arXiv paper proposes using distillation for AI safety: DFI exposes a model's hidden misalignment, while DFC extracts its skills without the harmful tendencies.

GUISE Shows Narrative Wrappers Break Qwen3-1.7B in 89–96% of Cases

An LLM Teaches a Planner to Get by With Polynomial Memory and Solves 1709 of 1890 Tasks

StoreBench: LLM Agents Run an Online Store and Lose to a Script — 49% vs. 97%

LLM Agents Don't Learn Community Norms From Interaction, Study Finds

TGIT Translates Short Drone Commands and Lifts Navigation Success from 11% to 33%
The TGIT instruction translator leaves the frozen OpenFly navigator untouched, yet lifts mission success from 11.33% to 32.51% on real human commands.

Agent strikes out its own old tool outputs and cuts input tokens by half
Researchers let an agent archive its own observations: in an OpenTelemetry case, the final prompt shrank from 912K to 232K tokens, and the API bill fell threefold.









