P1: Mastering Physics Olympiads with Reinforcement Learning Paper • 2511.13612 • Published 22 days ago • 132
Cache-to-Cache: Direct Semantic Communication Between Large Language Models Paper • 2510.03215 • Published Oct 3 • 97
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 • 20
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing Paper • 2509.08721 • Published Sep 10 • 660
A Survey of Reinforcement Learning for Large Reasoning Models Paper • 2509.08827 • Published Sep 10 • 189
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning Paper • 2509.09674 • Published Sep 11 • 80
Towards a Unified View of Large Language Model Post-Training Paper • 2509.04419 • Published Sep 4 • 75
A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence Paper • 2507.21046 • Published Jul 28 • 82
RLPR: Extrapolating RLVR to General Domains without Verifiers Paper • 2506.18254 • Published Jun 23 • 31
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models Paper • 2505.22617 • Published May 28 • 131
Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models Paper • 2503.11224 • Published Mar 14 • 28
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention Paper • 2502.11089 • Published Feb 16 • 166
Sparse Low-rank Adaptation of Pre-trained Language Models Paper • 2311.11696 • Published Nov 20, 2023 • 2
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization Paper • 2412.17739 • Published Dec 23, 2024 • 41