← authors · overview

• $π_\textttRL$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models
  2025 · 3 citations
• AI agent for autonomous optical networks: architectures, technologies, and prospects [Invited Tutorial]
  2026 · 2 citations
• DynaTrain: Fast Online Parallelism Switching for Elastic LLM Training
  2026
• Share More, Search Less: Collaborative Parallel Thinking for Efficient Test-Time Scaling
  2026
• Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding
  2026
• RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI
  2026
• WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
  2026
• WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
  2026
• Not Just What's There: Enabling CLIP to Comprehend Negated Visual Descriptions Without Fine-tuning
  2026
• Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
  2025
• RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action Models