Papers

• Training Data Efficiency in Multimodal Process Reward Models (2026)
  Jinyuan Li et al.
  1.94
• Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models (2026)
  Qiyuan Zhang et al.
  1.94
• PRISM: Pushing the Frontier of Deep Think via Process Reward Model-Guided Inference (2026)
  Rituraj Sharma et al.
  1.94
• Rethinking Diverse Human Preference Learning through Principal Component Analysis (2025)
  Feng Luo et al.
  1.28
• AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence (2025)
  Yuliang 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
• Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning (2025)
  Yibin Wang 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
• Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning (2025)
  Jiuzhou Han et al.
  1.28
• Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward (2025)
  Yong Deng et al.
  1.28
• Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training (2025)
  Chenlu Ye et al.
  1.28
• RewardDance: Reward Scaling in Visual Generation (2025)
  Jie Wu et al.
  1.28
• Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners (2025)
  Xin Xu et al.
  1.28
• Parallel Test-Time Scaling for Latent Reasoning Models (2025)
  Runyang You et al.
  1.28
• VR-Thinker: Boosting Video Reward Models through Thinking-with-Image Reasoning (2025)
  Qunzhong Wang et al.
  1.28
• Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation (2025)
  Yunhong Lu et al.
  1.28
• Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation (2025)
  Huajie Tan et al.
  1.28
• Efficient RLHF: Reducing the Memory Usage of PPO (2023)
  Michael Santacroce et al.
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• ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers (2024)
  Chen Zheng et al.
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