Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation Paper • 2509.25849 • Published Sep 30 • 47
FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning Paper • 2509.13160 • Published Sep 16 • 29
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning Paper • 2509.02544 • Published Sep 2 • 123
TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling Paper • 2508.17445 • Published Aug 24 • 80
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning Paper • 2509.02479 • Published Sep 2 • 83
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents Paper • 2508.13186 • Published Aug 14 • 18
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction Paper • 2508.11987 • Published Aug 16 • 70
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL Paper • 2508.13167 • Published Aug 6 • 127
WideSearch: Benchmarking Agentic Broad Info-Seeking Paper • 2508.07999 • Published Aug 11 • 109
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 • 130
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines Paper • 2502.14739 • Published Feb 20 • 104