Guanting Dong

Venues

Frequent coauthors

Papers

1. DecIF: Improving Instruction-Following through Decomposition
   ACL 2026 ·

   Tingfeng Hui

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2. DeepAgent: A General Reasoning Agent with Scalable Toolsets
   WWW 2026 ·

   Xiaoxi Li

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3. ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration
   ACL 2026 ·

   Yifei Chen

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4. EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
   ACL 2026 ·

   Xiaoshuai Song

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5. HiRA: Decoupling Planning and Execution with Hierarchical Reasoning in Deep Search
   SIGIR 2026 ·

   Jiajie Jin

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6. SmartSearch: Process Reward-Guided Query Refinement for Search Agents
   SIGIR 2026 ·

   Tongyu Wen

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7. Tool-Star: Empowering Multi-Tool Collaborative Web Agent via Reinforcement Learning
   SIGIR 2026 · Guanting Dong
8. ToolScope: An Agentic Framework for Vision-Guided and Long-Horizon Tool Use
   ACL 2026 ·

   Mengjie Deng

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9. Toward Generalized Web Agent Training: A Deep Dive into Entropy-Balanced Reinforcement Learning
   WWW 2026 · Guanting Dong
10. Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
    SIGIR 2026 ·

    Chenghao Zhang

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11. Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing
    WWW 2025 ·

    Xiaoshuai Song

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12. CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation
    NAACL 2025 ·

    Yiruo Cheng

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13. CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
    ICLR 2025 ·

    Xiaoshuai Song

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14. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
    WWW 2025 ·

    Jiajie Jin

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15. Hierarchical Document Refinement for Long-context Retrieval-augmented Generation
    ACL 2025 ·

    Jiajie Jin

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16. OCR-Critic: Aligning Multimodal Large Language Models' Perception through Critical Feedback
    ACM MM 2025 ·

    Qiuna Tan

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17. Progressive Multimodal Reasoning via Active Retrieval
    ACL 2025 · Guanting Dong
18. RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation
    ACL 2025 · Guanting Dong
19. Search-o1: Agentic Search-Enhanced Large Reasoning Models
    EMNLP 2025 ·

    Xiaoxi Li

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20. Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
    ICLR 2025 · Guanting Dong
21. Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
    AAAI 2025 · Guanting Dong
22. Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
    WWW 2025 · Guanting Dong
23. Unlocking the Potential of Smaller Language Models as Superior Instruction Evolvers
    CIKM 2025 ·

    Tingfeng Hui

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24. V-Oracle: Making Progressive Reasoning in Deciphering Oracle Bones for You and Me
    ACL 2025 ·

    Runqi Qiao

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25. We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
    ACL 2025 ·

    Runqi Qiao

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26. WebThinker: Empowering Large Reasoning Models with Deep Research Capability
    NeurIPS 2025 ·

    Xiaoxi Li

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27. ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
    ACL 2024 ·

    Haoran Luo

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28. Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning
    NAACL 2024 ·

    Ge Bai

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29. DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
    ACL 2024 ·

    Yejie Wang

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30. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
    ACL 2024 · Guanting Dong
31. How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
    EMNLP 2024 ·

    Yejie Wang

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32. MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making
    EMNLP 2024 ·

    Dayuan Fu

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33. MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
    ACL 2024 ·

    Chengpeng Li

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