DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment Paper • 2607.07820 • Published 21 days ago • 91
Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations Paper • 2607.13399 • Published 14 days ago • 20
TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training Paper • 2607.05804 • Published 22 days ago • 18
STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability Paper • 2606.19236 • Published Jun 17 • 13
PatchWorld: Gradient-Free Optimization of Executable World Models Paper • 2605.30880 • Published May 29 • 12
PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models Paper • 2605.20873 • Published May 20 • 44
Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models Paper • 2603.01571 • Published Mar 2 • 34
RubricBench: Aligning Model-Generated Rubrics with Human Standards Paper • 2603.01562 • Published Mar 2 • 64
AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration Paper • 2602.03786 • Published Feb 3 • 90
DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation Paper • 2601.09688 • Published Jan 14 • 128
AutoEnv: Automated Environments for Measuring Cross-Environment Agent Learning Paper • 2511.19304 • Published Nov 24, 2025 • 92
Scaling Latent Reasoning via Looped Language Models Paper • 2510.25741 • Published Oct 29, 2025 • 234