UI-Mate: Advancing Open-Weight Foundation GUI Agents with In-Context Demonstrations Paper • 2608.15930 • Published 19 days ago • 47
UI-Mate: Advancing Open-Weight Foundation GUI Agents with In-Context Demonstrations Paper • 2608.15930 • Published 19 days ago • 47
OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models Paper • 2607.28609 • Published Jul 30 • 73
Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning Paper • 2607.18722 • Published Jul 21 • 36
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable Paper • 2607.13285 • Published Jul 14 • 235
On Data Engineering for Scaling LLM Terminal Capabilities Paper • 2602.21193 • Published Feb 24 • 103
CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models Paper • 2602.17684 • Published Feb 4 • 24
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition Paper • 2307.13269 • Published Jul 25, 2023 • 34
Language Models Can Learn from Verbal Feedback Without Scalar Rewards Paper • 2509.22638 • Published Sep 26, 2025 • 70
cwm Collection Collection for Code World Model, an agentic coding model from FAIR. • 3 items • Updated Sep 24, 2025 • 20