ProgAgent: Learning Tool Orchestration through Programmatic Training Paper • 2610.14774 • Published 24 days ago • 15
VIEWCRAFT: Evolving What Multimodal Agents See and How They Read It Paper • 2610.15915 • Published 23 days ago • 24
Gains and Collapse in On-Policy Distillation:A Reinforcement Learning Perspective Paper • 2610.03185 • Published Oct 2 • 31
onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction Paper • 2609.24983 • Published Sep 21 • 53
MatrAIx: Simulating the World with 8.3 Billion Persona Agents Paper • 2608.04205 • Published Aug 4 • 60
DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment Paper • 2607.07820 • Published Jul 8 • 95
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 166
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published Jun 28 • 42
AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration Paper • 2605.20025 • Published May 19 • 75
Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling Paper • 2605.13301 • Published May 13 • 137
Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents Paper • 2605.10832 • Published May 11 • 22