MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI Paper • 2605.08678 • Published 11 days ago • 8
Post-Trained MoE Can Skip Half Experts via Self-Distillation Paper • 2605.18643 • Published 2 days ago • 27
Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling Paper • 2605.13301 • Published 7 days ago • 152
Post-Trained MoE Can Skip Half Experts via Self-Distillation Paper • 2605.18643 • Published 2 days ago • 27
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe Paper • 2604.13016 • Published Apr 14 • 105
VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos Paper • 2510.19488 • Published Oct 22, 2025 • 22
OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation Paper • 2511.13655 • Published Nov 17, 2025 • 11
Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly? Paper • 2511.13646 • Published Nov 17, 2025 • 10
P1: Mastering Physics Olympiads with Reinforcement Learning Paper • 2511.13612 • Published Nov 17, 2025 • 134
Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents Paper • 2510.23691 • Published Oct 27, 2025 • 56
From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones Paper • 2509.25123 • Published Sep 29, 2025 • 22
FlowRL: Matching Reward Distributions for LLM Reasoning Paper • 2509.15207 • Published Sep 18, 2025 • 118
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning Paper • 2509.09674 • Published Sep 11, 2025 • 81
A Survey of Reinforcement Learning for Large Reasoning Models Paper • 2509.08827 • Published Sep 10, 2025 • 193
Towards a Unified View of Large Language Model Post-Training Paper • 2509.04419 • Published Sep 4, 2025 • 76
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark? Paper • 2509.07894 • Published Sep 9, 2025 • 32