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

4742 articles-74% vs prev. week332 this week
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LLM Agents Spent 20 Days Building an AI for Hearthstone Battlegrounds That Beats Top-10 Players
LLM·Hugging Face Daily Papers

LLM Agents Spent 20 Days Building an AI for Hearthstone Battlegrounds That Beats Top-10 Players

Oct 24, 2026·2 min
CMU Researchers Teach RL Models to Stop Padding Answers: FORK Lifts Win Rate from 22% to 74%
LLM

CMU Researchers Teach RL Models to Stop Padding Answers: FORK Lifts Win Rate from 22% to 74%

Oct 24, 2026·3 min
Mycelium: Researchers Break Down Hallucination Benchmarks Along Three Axes
LLM

Mycelium: Researchers Break Down Hallucination Benchmarks Along Three Axes

Oct 24, 2026·2 min
AV-FABLE: Researchers Assemble 998 Hours of Video to Hunt for Pinpoint Deepfakes
LLM

AV-FABLE: Researchers Assemble 998 Hours of Video to Hunt for Pinpoint Deepfakes

Oct 24, 2026·2 min
Raspberry Pi 5 off the grid: a signed poisoned knowledge package sailed through every check
LLM·Hugging Face Daily Papers

Raspberry Pi 5 off the grid: a signed poisoned knowledge package sailed through every check

The authors ran offline RAG on Qwen2.5 1.5B/3B/7B on a Raspberry Pi 5: signature checks missed 6 of 9 update attacks, while layered verification caught all 9 in…

Oct 24, 2026·3 min
RoboJev-27B judges robot success from 10 frames: 0.993 AUROC on SO-101
LLM·Hugging Face Daily Papers

RoboJev-27B judges robot success from 10 frames: 0.993 AUROC on SO-101

An open 27-billion-parameter VLM watches 10 frames and tells you whether a robot nailed its task: 95.2% balanced accuracy, 0.26 seconds per episode, and about $0.19…

Oct 24, 2026·2 min
C3L Breaks the Explanation Drift Loop in Continual Learning: 5 Benchmarks, 20+ Baselines
LLM·Hugging Face Daily Papers

C3L Breaks the Explanation Drift Loop in Continual Learning: 5 Benchmarks, 20+ Baselines

Tel Aviv researchers show that regularizing against a model's own saliency maps locks in spurious correlations. Their fix, C3L, anchors regularization to…

Oct 24, 2026·3 min
ReGE Teaches Agents From Their Own Attempts: +9.9 pp Without Fine-Tuning
LLM·Hugging Face Daily Papers

ReGE Teaches Agents From Their Own Attempts: +9.9 pp Without Fine-Tuning

TIGER-Lab's ReGE has an agent write its own plan from logs of past attempts. GPT-5.6 Luna catches up to Sol (67.4% vs 67.0%) at 28% of the cost.

Oct 24, 2026·3 min
Top themes
01Moonshot releases Kimi K3.1 Pro: 55 points and $2/$10 per million tokensOct 23, 2026·2 min02Online Convex Optimization Went from Theory to Adam and LLMs in 20 YearsOct 23, 2026·3 min03Open-Source Vision Backbone Learns to Change Its Own Learning Rule on the Fly: 1000+ GitHub StarsOct 23, 2026·2 min04Stanford PhD Derives the Transformer From Scratch, Starting With One Memory ProblemOct 23, 2026·2 min05Zhejiang University and Peking University Propose SPADER for Multi-Answer QAOct 23, 2026·2 min
Xiaohongshu and Fudan University Build DR-Rubric for RL on Open-Ended Tasks
LLM·Jiqizhixin (机器之心)

Xiaohongshu and Fudan University Build DR-Rubric for RL on Open-Ended Tasks

Oct 23, 2026·2 min
OpenAI exposes three Aurora models in its API: red, green and blue alpha
LLM·Jiqizhixin (机器之心)

OpenAI exposes three Aurora models in its API: red, green and blue alpha

Oct 23, 2026·2 min
PhAI Labs: Claude Opus 5 Ranks Last in Scientific Hypothesis Test With 2.3%
LLM·Jiqizhixin (机器之心)

PhAI Labs: Claude Opus 5 Ranks Last in Scientific Hypothesis Test With 2.3%

Oct 23, 2026·2 min
Vector Search vs. Knowledge Graph: What It Really Costs to Build and Maintain a GraphRAG
Opinion·Жемал Хамидун · Авторская колонка

Vector Search vs. Knowledge Graph: What It Really Costs to Build and Maintain a GraphRAG

Oct 23, 2026·3 min
Alibaba DAMO Unveils First Automotive RISC-V Roadmap for XuanTie Chips
LLM·Jiqizhixin (机器之心)

Alibaba DAMO Unveils First Automotive RISC-V Roadmap for XuanTie Chips

At the RISC-V China Summit in Shenzhen on October 19, Alibaba DAMO Academy unveiled its XuanTie automotive roadmap and claimed gains in Agentic AI and servers.

Oct 23, 2026·2 min
Zhejiang University Publishes First Survey of Egocentric AI for Smart Glasses
LLM·Jiqizhixin (机器之心)

Zhejiang University Publishes First Survey of Egocentric AI for Smart Glasses

A Zhejiang University team has published the first survey of first-person intelligence for smart glasses, tracing the path from scene recognition to memory…

Oct 23, 2026·2 min
Tongyan Lingzhi moves AI personalization from prompts into the model layer itself
LLM·Jiqizhixin (机器之心)

Tongyan Lingzhi moves AI personalization from prompts into the model layer itself

Chinese startup 通衍灵智 wants to grow a separate model for each person, project and company instead of one for everyone. We unpack the thesis and the open questions.

Oct 23, 2026·2 min
Baidu, Tsinghua and Renmin Open-Source LoopVL, Teaching a Loop Transformer to See
LLM·Jiqizhixin (机器之心)

Baidu, Tsinghua and Renmin Open-Source LoopVL, Teaching a Loop Transformer to See

Oct 23, 2026·2 min
GPT-6-Astra Maxes Out Robotics Benchmarks but Stumbles on Real Robots
LLM·Jiqizhixin (机器之心)

GPT-6-Astra Maxes Out Robotics Benchmarks but Stumbles on Real Robots

Oct 23, 2026·2 min
The Information: Anthropic Is Preparing a Model Stronger Than Any Current Claude
LLM·Jiqizhixin (机器之心)

The Information: Anthropic Is Preparing a Model Stronger Than Any Current Claude

Oct 23, 2026·3 min
Tencent Hunyuan and Fudan Launch ExplorationBench to Measure Exploration in LLMs
LLM·Jiqizhixin (机器之心)

Tencent Hunyuan and Fudan Launch ExplorationBench to Measure Exploration in LLMs

Oct 23, 2026·2 min
WorldMemBench Tests Whether World Models Remember Rooms and Events
LLM·Jiqizhixin (机器之心)

WorldMemBench Tests Whether World Models Remember Rooms and Events

Oct 23, 2026·2 min
University of Pittsburgh Looks for a 3D Map Inside a VLM: How a Model Sees a Room
LLM

University of Pittsburgh Looks for a 3D Map Inside a VLM: How a Model Sees a Room

Oct 23, 2026·2 min
LightSprint Raises $6.1M for a Multi-Agent Product-to-Engineering Loop
LLM

LightSprint Raises $6.1M for a Multi-Agent Product-to-Engineering Loop

Oct 23, 2026·2 min
Cohere proposes a fix for agent sprawl: competitive selection instead of bans
LLM

Cohere proposes a fix for agent sprawl: competitive selection instead of bans

Oct 23, 2026·2 min
ACEdit Teaches Image Editors to Train on Their Own Mistakes Without Degrading
LLM·Hugging Face Daily Papers

ACEdit Teaches Image Editors to Train on Their Own Mistakes Without Degrading

ACEdit applies Self-Forcing to image editing: the model learns from its own outputs, while a teacher sees the original image and a composite instruction.

Oct 23, 2026·2 min
Mine-Sample-Render: A Three-Stage Method for Diverse Generation
LLM·Hugging Face Daily Papers

Mine-Sample-Render: A Three-Stage Method for Diverse Generation

Modern generative models are high-quality but monotonous. MSR (Mine-Sample-Render) is a Microsoft Research approach for diverse generation at test time. An explicit…

Oct 23, 2026·2 min
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