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Bo Ding

13 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

AAAI ×2ICML ×2SIGIR ×2ACL ×1ACM MM ×1CHI ×1ICLR ×1ICRA ×1IJCAI ×1NeurIPS ×1

Frequent coauthors

Xudong Gong
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Yuanzhao Zhai
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Yang Shen
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Xiaoying Le
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Xinning Chen
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Tianjiao Wan
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Papers

  1. Divergence or Convergence? A Deep Insight into the Crowd Collaboration and its Productivity in Open Source Software based on Entropy
    CHI 2026 ·
    Yang Shen
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  2. EvoNarrator: Modeling Scientific Evolution for Feasible Hypothesis Generation
    ACL 2026 ·
    Xiaoying Le
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  3. Empowering Large Language Model Agent through Step-Level Self-Critique and Self-Training
    SIGIR 2025 ·
    Yuanzhao Zhai
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  4. Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models
    AAAI 2025 ·
    Yuanzhao Zhai
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  5. Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning
    ICML 2025 ·
    Xudong Gong
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  6. Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models
    SIGIR 2025 ·
    Yuanzhao Zhai
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  7. V-Pilot: A Velocity Vector Control Agent for Fixed-Wing UAVs from Imperfect Demonstrations
    ICRA 2025 ·
    Xudong Gong
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  8. VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems
    ICLR 2025 ·
    Xudong Gong
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  9. Goal-Conditioned On-Policy Reinforcement Learning
    NeurIPS 2024 ·
    Xudong Gong
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  10. Iterative Regularized Policy Optimization with Imperfect Demonstrations
    ICML 2024 ·
    Xudong Gong
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  11. Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
    AAAI 2024 ·
    Yuanzhao Zhai
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  12. Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract)
    IJCAI 2024 ·
    Xinning Chen
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  13. Tracing Training Progress: Dynamic Influence Based Selection for Active Learning
    ACM MM 2024 ·
    Tianjiao Wan
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