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

RSIGame: a 27B model combo plays its own games and outperforms GPT-5.5
China's RSIGame has AI test, fix and refine games on its own. The authors claim a combination of 27B models beat GPT-5.5 in one-shot generation.

DecisionPivot Tests 40 Solver Models: Up to a 26-Point Gap at Equal Accuracy
DecisionPivot's 40,033-item benchmark shows two 27B models 2.6 points apart on the reference track diverge by 25.9 points on contrastive groups.

S-Agent 2.0 teaches a coding agent to understand 3D and beats SpatialClaw by 7.8 points
A ready-made coding agent with a set of 3D tools lifted Qwen3.8-27B to 66.5 on MMSI-Bench and 82.3 on ReVSI. Gemini-3.8-Flash reached 74.1 and 90.5.

Agent Mosaic: LLM Agents Assemble Secrets From Harmless Documents in 7% of Responses

Layer Looping Cuts Diffusion LLM Training Costs by Up to 3.3x

FrontierCS 2 tested 12 AI agents on R&D tasks: the best passed 58%

SplatLab writes its own 3D Gaussian Splatting papers and beats baselines by up to +3.78 dB

Survey: Robots Are Learning to Improve Their Own Learning, but Evidence Is Still Missing
A new survey carries recursive self-improvement from code into the physical world and names four conditions under which robot gains accumulate instead of vanishing.

ToM2Vec Teaches LLM Agents to Model Their Partners in Latent Tokens
ToM2Vec builds a partner's theory of mind in continuous tokens and wins in Hanabi, Overcooked-AI and negotiation, including games with an unfamiliar GPT-5.4.

LASAGNA Tests 450 RAG Configurations: The Promised +47% Gain Turns Into Just +17%

RealMe Builds 2K Volumetric Video from a Handful of Cameras Using Diffusion

PACE compresses linear LLM state to 4 bits and saves a third of the memory

SERA teaches a VLM planner to self-evolve: robot scores 51.38% on RoboMME

TenetBench: 11 of 14 LLM Configurations Violate Professional Ethics Codes
A new Russian-language benchmark tests models against specific clauses of professional ethics codes. 11 of 14 configurations produce conflicting content on most…

DetectorScope Turns the Black Box of AI-Text Detectors into a Transparent One
Google DeepMind researchers taught AI-text detectors to explain their decisions: sparse autoencoders pull human-readable features out of the model with no loss of…









