ThunderSyncRL: Lossless Acceleration of Agentic Reinforcement Learning Paper • 2610.05935 • Published 24 days ago • 1
REMORY: Learning Residual Memory for Context Compaction Paper • 2610.11287 • Published 21 days ago • 65
TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models Paper • 2610.07767 • Published 23 days ago • 62
When Do We Need On-Policy Distillation? Distilling on Offline Student Rollouts Is Often Better Paper • 2610.11291 • Published 21 days ago • 29
Priming: Hybrid State Space Models From Pre-trained Transformers Paper • 2605.08301 • Published May 8 • 1
LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches Paper • 2610.06647 • Published 24 days ago • 60
Fork-and-Flush: Escaping Idea Basins in Autoresearch Agents Paper • 2610.07447 • Published 24 days ago • 2
QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents Paper • 2609.33848 • Published Sep 27 • 51
Harness^2: Recursive Agent Harnessing for an Open World Paper • 2610.14224 • Published 20 days ago • 126
TheoPhysEval: Assessing AI agents at autonomous theoretical physics problem solving Paper • 2610.16733 • Published 20 days ago • 1
Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation Paper • 2610.14162 • Published 20 days ago • 17
Your Transformer Can Hold Two Thoughts at Once: Evidence of Linear Superposition in LLMs Paper • 2609.29845 • Published Sep 24 • 105
Verifiable Hidden Dynamics Play: Generating Agentic RL Environments from Solved Mechanisms Paper • 2609.27321 • Published Sep 23 • 23
Agent-Editing World Model: Rethinking World Modeling for LLM Agents Paper • 2609.28416 • Published Sep 23 • 45