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
• DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents (2026)
  Jiahao Zhao et al.
  1.94
• LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning (2026)
  Jianing Wang et al.
  1.94
• OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks (2026)
  Wenbo Hu et al.
  1.94
• N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization (2026)
  Xukun Zhu et al.
  1.94
• Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale (2026)
  Ang Li et al.
  1.94
• Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings (2026)
  Shubhang Bhatnagar et al.
  1.94
• GD^2PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization (2026)
  Haotian Liu et al.
  1.94
• PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents (2026)
  Bihui Yu et al.
  1.89
• DocAtlas: Multilingual Document Understanding Across 80+ Languages (2026)
  Ahmed Heakl et al.
  1.89
• HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation (2026)
  Xin Zhou et al.
  1.83
• 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
• Reinforcement Learning via Self-Distillation (2026)
  Jonas Hübotter et al.
  1.67
• RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation (2025)
  Kaiqu Liang et al.
  1.28
• Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step (2025)
  Ziyu Guo et al.
  1.28
• YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment (2025)
  Amitava Das et al.
  1.28
• DPO-Shift: Shifting the Distribution of Direct Preference Optimization (2025)
  Xiliang Yang et al.
  1.28
• Thinking Preference Optimization (2025)
  Wang Yang et al.
  1.28
• LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models (2025)
  Shangqing Tu et al.
  1.28
• OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference (2025)
  Xiangyu Zhao et al.
  1.28
• SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning (2025)
  Zexiong Ma et al.
  1.28
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• Iterative Value Function Optimization for Guided Decoding (2025)
  Zhenhua 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
• DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models (2025)
  Sunghee Jung 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
• MM-IFEngine: Towards Multimodal Instruction Following (2025)
  Shengyuan Ding 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
• Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization (2025)
  Pritam Sarkar et al.
  1.28
• WebThinker: Empowering Large Reasoning Models with Deep Research Capability (2025)
  Xiaoxi Li et al.
  1.28
• Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning (2025)
  Yibin Wang et al.
  1.28
• The Aloe Family Recipe for Open and Specialized Healthcare LLMs (2025)
  Dario Garcia-Gasulla et al.
  1.28
• Skywork-VL Reward: An Effective Reward Model for Multimodal Understanding and Reasoning (2025)
  Xiaokun 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
• Perception-Aware Policy Optimization for Multimodal Reasoning (2025)
  Zhenhailong Wang et al.
  1.28
• Technical Report of TeleChat2, TeleChat2.5 and T1 (2025)
  Zihan Wang et al.
  1.28
• Agentic Reinforced Policy Optimization (2025)
  Guanting Dong et al.
  1.28
• Compressing Chain-of-Thought in LLMs via Step Entropy (2025)
  Zeju Li et al.
  1.28
• Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization (2025)
  Zhenpeng Su et al.
  1.28
• Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery (2025)
  Jiatong Li et al.
  1.28
• Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning (2025)
  Vaishnavi Shrivastava et al.
  1.28
• Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing (2025)
  Jeffrey Amico et al.
  1.28
• Advancing Speech Understanding in Speech-Aware Language Models with GRPO (2025)
  Avishai Elmakies et al.
  1.28
• Toward Effective Tool-Integrated Reasoning via Self-Evolved Preference Learning (2025)
  Yifei Chen 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