Key papers

• RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation (2026)
  Sunzhu Li et al.
  1.94
• Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR (2026)
  Fanfan Liu et al.
  1.94
• Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models (2026)
  Qiyuan Zhang et al.
  1.94
• Efficient RLVR Training via Weighted Mutual Information Data Selection (2026)
  Xinyu Zhou et al.
  1.94
• Improving Vision-language Models with Perception-centric Process Reward Models (2026)
  Yingqian Min et al.
  1.94
• Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR (2026)
  Chongyu Fan et al.
  1.94
• CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test (2026)
  Zhangyi Hu et al.
  1.94
• CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents (2026)
  Bowen Wang et al.
  1.94
• Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL (2026)
  Sudong Wang et al.
  1.83
• DRAGON: Distributional Rewards Optimize Diffusion Generative Models (2025)
  Yatong Bai et al.
  1.28
• Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs (2025)
  Yufa Zhou et al.
  1.28
• Kwai Keye-VL Technical Report (2025)
  Kwai Keye Team et al.
  1.28
• Perception-Aware Policy Optimization for Multimodal Reasoning (2025)
  Zhenhailong Wang et al.
  1.28
• The Invisible Leash: Why RLVR May Not Escape Its Origin (2025)
  Fang Wu et al.
  1.28
• UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding (2025)
  Shuquan Lian et al.
  1.28
• VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use (2025)
  Dongfu Jiang et al.
  1.28
• ΔL Normalization: Rethink Loss Aggregation in RLVR (2025)
  Zhiyuan He et al.
  1.28
• RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards (2025)
  Zhilin Wang et al.
  1.28
• CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning (2025)
  Long Xing et al.
  1.28
• Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners (2025)
  Xin Xu et al.
  1.28
• ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models (2025)
  Yuqi Liu et al.
  1.28
• Search Self-play: Pushing the Frontier of Agent Capability without Supervision (2025)
  Hongliang Lu et al.
  1.28
• The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation (2025)
  Farid Bagirov et al.
  1.28
• Video-Thinker: Sparking "Thinking with Videos" via Reinforcement Learning (2025)
  Shijian Wang et al.
  1.28
• Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning (2025)
  Yihe Deng et al.
  1.28
• V-Thinker: Interactive Thinking with Images (2025)
  Runqi Qiao et al.
  1.28
• Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving (2025)
  Songyang Gao et al.
  1.28
• OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification (2025)
  Zijian Wu et al.
  1.28
• ORES: Open-vocabulary Responsible Visual Synthesis (2023)
  Minheng Ni et al.
  —
• Efficient RLHF: Reducing the Memory Usage of PPO (2023)
  Michael Santacroce et al.
  —
• TextCraftor: Your Text Encoder Can be Image Quality Controller (2024)
  Yanyu Li et al.
  —
• Measuring memorization in RLHF for code completion (2024)
  Aneesh Pappu et al.
  —
• Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input (2024)
  Francesco Taioli et al.
  —