#LLM
Curated coverage on «LLM»: releases, research, benchmarks, open-source.

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.

Galahad-kv stores KV cache on NVMe and loads a block 2.8–4.3x faster than recomputing it
The galahad-kv package stores the KV state of 50M tokens on encrypted NVMe. On an H100, loading a block is 2.8–4.3x faster than recomputing it and uses 8.8–12.3x…

Fine-Tuned 0.8B-Parameter Model Beats GPT-5.4 at Grammar Annotation
A 0.8B Qwen3.5 fine-tuned on teacher-model labels beat GPT-5.4 and GPT-5.6 Sol on precision and recall, and cut inference costs roughly 16x.

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

Two Distillation Schemes Make AI Students Reveal Their Teachers' Hidden Behavior

Researchers prove that bloating AGENTS.md is harmful: the file has a size limit
Preprint arXiv 2610.11007 models an agent's context file as a capacitated assortment problem and proves an upper bound on its optimal size.

GUISE Shows Narrative Wrappers Break Qwen3-1.7B in 89–96% of Cases
Researchers built the GUISE benchmark: a role-play wrapper bypasses Qwen3-1.7B's safeguards 89.4% of the time in English and 95.7% in Classical Chinese. They also…

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

Qwen3.6-27B and Qwen3-4B Agents Blow Their Time Budgets Without Harness Hints

Plan-and-Patch: Diffusion LLM Repairs Agent Plans Twice as Often as Qwen3-8B

arXiv Authors Bound Agent Self-Improvement by Verification Class
A theoretical preprint separates three ways to improve an agent: search longer, get more support, or change verification. The complexity classes are sandwiched…

Western open-weight models pitch businesses an alternative to Chinese and closed AI
Western open-weight models are pitched to companies as an alternative to Chinese and proprietary AI. They offer more control, but the customer takes on…









