Tree-Aware Posterior Distillation for Long-Horizon Agentic Reinforcement Learning Paper • 2610.23181 • Published 5 days ago • 41
AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning Paper • 2610.22194 • Published 6 days ago • 42
Terminal-RSI: Recursive Self-Improving Terminal Agents via Recursive Self-Rewrite and Policy-Refine Paper • 2610.22192 • Published 6 days ago • 38
EdgeWise: Bringing Long-Horizon Agents to the Edge via Selective Cloud Delegation Paper • 2610.17560 • Published 8 days ago • 28
Thinking Inertia: LLMs Keep Thinking When Told Not To Paper • 2610.11765 • Published 13 days ago • 242
LatentLoop: Scaling Looped MoE Models with Asymmetric Compute Allocation Paper • 2610.19975 • Published 7 days ago • 81
Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks Paper • 2610.11794 • Published 13 days ago • 47
U-Space: Uncovering When and Why Uncertainty Arises in Language Models Paper • 2610.09087 • Published 15 days ago • 54
DecepEval: A Benchmark for Evaluating Deception in LLM Agents Paper • 2610.07967 • Published 15 days ago • 86
MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement Paper • 2610.11959 • Published 13 days ago • 92
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression Paper • 2609.19969 • Published Sep 17 • 230
Follow the Entities: A Corpus Map for Agentic Search Paper • 2609.37226 • Published 22 days ago • 101
Rethinking Training-Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It Paper • 2609.32444 • Published 25 days ago • 36
CodeMidas: Scaling Agentic Coding RL Environments from Code Itself Paper • 2609.22068 • Published Sep 18 • 138
NeoHorse-1 Collection NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness • 3 items • Updated Sep 9 • 8
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness Paper • 2609.08183 • Published Sep 8 • 480