LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling Paper • 2606.18023 • Published Jun 16 • 210
VisualClaw: A Real-Time, Personalized Agent for the Physical World Paper • 2606.16295 • Published Jun 15 • 28
Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents Paper • 2605.30621 • Published May 28 • 23
Mistral Medium 3.5 Collection Our first flaship models handling instruction-following, reasoning, and coding in a single set of opened-weights. • 2 items • Updated Apr 29 • 20
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models Paper • 2606.01961 • Published Jun 3 • 28
AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration Paper • 2605.20025 • Published May 19 • 191
Ling 2.6 Collection Ling-2.6 series is designed for real-world agents that require fast responses, strong execution, and high token efficiency, with several sized SKUs. • 6 items • Updated Jun 22 • 13
view article Article NEO-unify: Building Native Multimodal Unified Models End to End sensenova • Mar 5 • 172
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation Paper • 2604.21375 • Published Apr 23 • 19
ClawArena: Benchmarking AI Agents in Evolving Information Environments Paper • 2604.04202 • Published Apr 5 • 37
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw Paper • 2604.04759 • Published Apr 6 • 24
Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory Paper • 2604.01007 • Published Apr 2 • 31
Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation Paper • 2603.12793 • Published Mar 13 • 38