It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning Paper • 2609.00638 • Published 14 days ago • 74
Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation Paper • 2608.29846 • Published 16 days ago • 16
Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation Paper • 2608.29846 • Published 16 days ago • 16
Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation Paper • 2608.29846 • Published 16 days ago • 16
It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning Paper • 2609.00638 • Published 14 days ago • 74
It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning Paper • 2609.00638 • Published 14 days ago • 74
EnvHarness: Awakening Static Worlds for Agent Learning Paper • 2608.19880 • Published 26 days ago • 275
OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies Paper • 2607.03723 • Published Jul 4 • 5
Trust the Right Teacher: Quality-Aware Self-Distillation for GUI Grounding Paper • 2606.18101 • Published Jun 16 • 15
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling Paper • 2606.03102 • Published Jun 2 • 15
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling Paper • 2606.03102 • Published Jun 2 • 15
DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Paper • 2605.09269 • Published May 10 • 6
Reinforcing Multimodal Reasoning Against Visual Degradation Paper • 2605.09262 • Published May 10 • 7
G-Zero: Self-Play for Open-Ended Generation from Zero Data Paper • 2605.09959 • Published May 11 • 18
G-Zero: Self-Play for Open-Ended Generation from Zero Data Paper • 2605.09959 • Published May 11 • 18
Reinforcing Multimodal Reasoning Against Visual Degradation Paper • 2605.09262 • Published May 10 • 7
DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification Paper • 2605.09269 • Published May 10 • 6
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Paper • 2605.08083 • Published May 8 • 71
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Paper • 2605.08083 • Published May 8 • 71
MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild Paper • 2603.17187 • Published Mar 17 • 141