Stabilizing Reinforcement Learning with LLMs: Formulation and Practices Paper • 2512.01374 • Published 8 days ago • 83
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence Paper • 2511.18538 • Published 16 days ago • 246
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution Paper • 2510.08697 • Published Oct 9 • 36
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation Paper • 2509.25849 • Published Sep 30 • 47
Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search Paper • 2509.07969 • Published Sep 9 • 59
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Paper • 2509.02544 • Published Sep 2 • 124
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use Paper • 2509.01055 • Published Sep 1 • 75
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Paper • 2509.02479 • Published Sep 2 • 83
TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling Paper • 2508.17445 • Published Aug 24 • 80
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL Paper • 2508.13167 • Published Aug 6 • 129
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction Paper • 2508.11987 • Published Aug 16 • 71
Agent Lightning: Train ANY AI Agents with Reinforcement Learning Paper • 2508.03680 • Published Aug 5 • 121
Efficient Agents: Building Effective Agents While Reducing Cost Paper • 2508.02694 • Published Jul 24 • 85
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference Paper • 2508.02193 • Published Aug 4 • 132
SWE-Perf: Can Language Models Optimize Code Performance on Real-World Repositories? Paper • 2507.12415 • Published Jul 16 • 42