Democratizing Robot-Use Agents: A Unified Harness with Open Models Paper • 2611.01560 • Published 4 days ago • 44
Improving Test-Time Scaling with Adaptive Looped Transformers Paper • 2609.35748 • Published Sep 28 • 62
T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks Paper • 2609.11042 • Published Sep 10 • 66
Rethinking On-Policy Distillation of Large Language Models II: One Training Example Paper • 2609.04172 • Published Sep 3 • 83
Safin-1: Safety from Within through Memory-Native State Evolution Paper • 2609.00092 • Published Aug 31 • 21
Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning Paper • 2608.14290 • Published Aug 14 • 36
CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists Paper • 2605.26029 • Published May 28 • 14
EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions Paper • 2606.23654 • Published Jun 22 • 81
NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? Paper • 2606.24530 • Published Jun 23 • 66
Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Paper • 2607.28568 • Published Jul 30 • 150
Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Paper • 2607.28568 • Published Jul 30 • 150
NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? Paper • 2606.24530 • Published Jun 23 • 66
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 165
EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions Paper • 2606.23654 • Published Jun 22 • 81
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI Paper • 2605.08678 • Published May 9 • 9
Post-Trained MoE Can Skip Half Experts via Self-Distillation Paper • 2605.18643 • Published May 18 • 31
Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling Paper • 2605.13301 • Published May 13 • 137
Post-Trained MoE Can Skip Half Experts via Self-Distillation Paper • 2605.18643 • Published May 18 • 31
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe Paper • 2604.13016 • Published Apr 14 • 115