Xin Jiang

Venues

Frequent coauthors

Papers

1. ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
   AAAI 2026 ·

   Xingshan Zeng

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2. Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
   ICLR 2025 ·

   Jiacheng Ye

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3. Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
   ICLR 2025 ·

   Yuxin Jiang

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4. Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
   NAACL 2025 ·

   Zezhong Wang

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5. Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
   ACL 2025 ·

   Qiyuan Zhang

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6. FlatQuant: Flatness Matters for LLM Quantization
   ICML 2025 ·

   Yuxuan Sun

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7. Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration
   ICLR 2025 ·

   Qintong Li

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8. Implicit Search via Discrete Diffusion: A Study on Chess
   ICLR 2025 ·

   Jiacheng Ye

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9. Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
   ACL 2025 ·

   Yuxin Jiang

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10. Learning to Align Multi-Faceted Evaluation: A Unified and Robust Framework
    ACL 2025 ·

    Kaishuai Xu

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11. Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment
    ACL 2025 ·

    Zhili Liu

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12. RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
    ICLR 2025 ·

    Qiyuan Zhang

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13. Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning
    EMNLP 2025 ·

    Zezhong Wang

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14. Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing
    ACL 2025 ·

    Kaishuai Xu

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15. ToolACE: Winning the Points of LLM Function Calling
    ICLR 2025 ·

    Weiwen Liu

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16. ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
    NAACL 2025 ·

    Zezhong Wang

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17. Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
    NeurIPS 2024 ·

    Jiacheng Ye

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18. FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
    ACL 2024 ·

    Yuxin Jiang

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19. Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
    ICLR 2024 ·

    Kai Chen

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20. Learning to Edit: Aligning LLMs with Knowledge Editing
    ACL 2024 ·

    Yuxin Jiang

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21. MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer
    WWW 2024 ·

    Dong Yao

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22. MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models
    EMNLP 2024 ·

    Wai-Chung Kwan

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23. Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios
    ACL 2024 ·

    Shijue Huang

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24. Preparing Lessons for Progressive Training on Language Models
    AAAI 2024 ·

    Yu Pan

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25. Prompt-Based Length Controlled Generation with Multiple Control Types
    ACL 2024 ·

    Renlong Jie

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26. Retrieval-based Disentangled Representation Learning with Natural Language Supervision
    ICLR 2024 ·

    Jiawei Zhou

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27. Unsupervised Extractive Summarization with Learnable Length Control Strategies
    AAAI 2024 ·

    Renlong Jie

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28. Visually Guided Generative Text-Layout Pre-training for Document Intelligence
    NAACL 2024 ·

    Zhiming Mao

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