Key papers

• Rank-Then-Act: Reward-Free Control from Frame-Order Progress (2026)
  Yuriy Maksyuta et al.
  2.00
• TREK: Distill to Explore, Reinforce to Refine (2026)
  Yuanda Xu et al.
  2.00
• CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning (2026)
  Eric Onyame et al.
  1.94
• Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR (2026)
  Fanfan Liu et al.
  1.94
• BubbleRAG: Evidence-Driven Retrieval-Augmented Generation for Black-Box Knowledge Graphs (2026)
  Duyi Pan et al.
  1.94
• OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks (2026)
  Wenbo Hu et al.
  1.94
• GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification (2026)
  Wangjie Gan et al.
  1.94
• N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization (2026)
  Xukun Zhu et al.
  1.94
• Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings (2026)
  Shubhang Bhatnagar et al.
  1.94
• FireRed-OCR Technical Report (2026)
  Hao Wu et al.
  1.78
• Stabilizing Reinforcement Learning for Diffusion Language Models (2026)
  Jianyuan Zhong et al.
  1.78
• UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience (2026)
  Zichuan Lin et al.
  1.78
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization (2025)
  Jingyi Zhang et al.
  1.28
• Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought (2025)
  Yi Peng et al.
  1.28
• VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning (2025)
  Xinhao Li et al.
  1.28
• SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models (2025)
  Hardy Chen et al.
  1.28
• Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning (2025)
  Yibin Wang et al.
  1.28
• Think Only When You Need with Large Hybrid-Reasoning Models (2025)
  Lingjie Jiang et al.
  1.28
• VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization (2025)
  Yunxin Li et al.
  1.28
• ARM: Adaptive Reasoning Model (2025)
  Siye Wu et al.
  1.28
• Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization (2025)
  Mingzhe Du et al.
  1.28
• Prefix Grouper: Efficient GRPO Training through Shared-Prefix Forward (2025)
  Zikang Liu et al.
  1.28
• LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion Transformer (2025)
  Yuzhuo Chen et al.
  1.28
• Compressing Chain-of-Thought in LLMs via Step Entropy (2025)
  Zeju Li et al.
  1.28
• Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning (2025)
  Vaishnavi Shrivastava et al.
  1.28
• Advancing Speech Understanding in Speech-Aware Language Models with GRPO (2025)
  Avishai Elmakies et al.
  1.28
• ExGRPO: Learning to Reason from Experience (2025)
  Runzhe Zhan et al.
  1.28
• GCPO: When Contrast Fails, Go Gold (2025)
  Hao Wu et al.
  1.28
• Training-Free Group Relative Policy Optimization (2025)
  Yuzheng Cai et al.
  1.28
• VR-Thinker: Boosting Video Reward Models through Thinking-with-Image Reasoning (2025)
  Qunzhong Wang et al.
  1.28
• Chem-R: Learning to Reason as a Chemist (2025)
  Weida Wang et al.
  1.28
• Video-Thinker: Sparking "Thinking with Videos" via Reinforcement Learning (2025)
  Shijian Wang et al.
  1.28
• Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models (2025)
  Xiaoyu Zhan et al.
  1.28