Papers

• Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement (2026)
  Jian Zhang et al.
  1.94
• Training Data Efficiency in Multimodal Process Reward Models (2026)
  Jinyuan Li et al.
  1.94
• PRISM: Pushing the Frontier of Deep Think via Process Reward Model-Guided Inference (2026)
  Rituraj Sharma et al.
  1.94
• StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning (2026)
  Daoyu Wang et al.
  1.94
• AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence (2025)
  Yuliang Liu et al.
  1.28
• SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories (2025)
  Muzhi Zhu et al.
  1.28
• DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models (2025)
  Sunghee Jung et al.
  1.28
• Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training (2025)
  Chenlu Ye et al.
  1.28
• PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments (2025)
  Weijie Zhou et al.
  1.28
• Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning (2025)
  Ming Chen et al.
  1.28
• Robo-Dopamine: General Process Reward Modeling for High-Precision Robotic Manipulation (2025)
  Huajie Tan et al.
  1.28