Improving Test-Time Scaling with Adaptive Looped Transformers Paper • 2609.35748 • Published 7 days ago • 58
T1: Terminal Agent Reinforcement Learning for Long-Horizon Tasks Paper • 2609.11042 • Published 25 days ago • 64
Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering Paper • 2607.28568 • Published Jul 30 • 188
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 167
NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? Paper • 2606.24530 • Published Jun 23 • 67
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 167
Draft-OPD: On-Policy Distillation for Speculative Draft Models Paper • 2605.29343 • Published May 28 • 34
Post-Trained MoE Can Skip Half Experts via Self-Distillation Paper • 2605.18643 • Published May 18 • 31
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 • 116
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models Paper • 2511.08577 • Published Nov 11, 2025 • 110