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

New Method Aligns Encoders With 100–500 Pairs Instead of Millions
An arXiv paper aligns two independently trained encoders using 100–500 pairs via distilled optimal transport, beating baselines on Flickr30k, MS-COCO and ChEBI-20.

LLM Pipeline Turns Datasheets into Knowledge Graphs with 98.8% Accuracy
A new pipeline builds hierarchical graphs from datasheets: 98.8% faithful properties versus 76.1% for a single-pass LLM query. Tested on 20 documents.

EvoSyn: Multi-Agent Data Synthesis Lifts Task Success by 13.3 Points
Researchers propose EvoSyn, a framework that reshapes the synthetic-data generation space based on student feedback and beats the strongest baseline by 13.3 points.

Dongshan Precision Prepares $2–3 Billion Hong Kong Listing

SynAct Teaches LLM Agents to Ask for Help Where It Changes the Outcome: +11.7 pp

STAPLE adds billions of parameters to OLMo-2 and decodes twice as fast as MoE

MisVisAgentBench: Misleading Charts Cut Web Agent Success by 34 Percentage Points

Conversational Model Benchmark: GPT Realtime and Gemini Respond at Almost Every Pause
Researchers tested whether voice models can stay silent: on 427 pauses, APIs from OpenAI, Google and xAI almost always respond. Only Moshi and PersonaPlex hold back.

Linear Head on Qwen3-VL Beats GPT-4o at Scoring Answers Without Human Labels
A vision-language reward model with no human labels: a few thousand parameters on a frozen Qwen3-VL 32B beat GPT-4o on VL-RewardBench by 6.6 points.

ELR teaches one model to loop: Koi-4B scores 18 and 29

DCOCO speeds up LLM inference by up to 6.6x and beats rivals by 6–23%

SWE-Duel: Coding Agents Plant Bugs for Each Other, and GPT-5.5 Fixes 98.3%

Reward hacking spreads between AI agents: weak models infect strong ones

Beijing Moves to Calm A-Shares After Tech Selloff Over US Sanctions Fears
China's securities regulator, the CSRC, convened listed-company executives, brokers and fund managers in Beijing after a sharp tech-stock selloff driven by fears of…

DBS chief: market is reassessing AI investment risk and will tighten financing
The CEO of Southeast Asia's largest bank, Tan Su Shan, says the market is repricing AI buildout risk and lenders will become more selective.









