yuze sheng

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upvoted 2 papers 1 day ago

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning

Paper • 2602.04634 • Published 8 days ago • 92

RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI

Paper • 2602.07837 • Published 5 days ago • 50

upvoted a paper 3 days ago

RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation

Paper • 2509.15965 • Published Sep 19, 2025 • 18

upvoted a paper 3 months ago

Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models

Paper • 2511.08577 • Published Nov 11, 2025 • 108