Xianfeng Tang

Venues

Frequent coauthors

Papers

1. A Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning
   ACL 2026 ·

   Yingqian Cui

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2. Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking
   ACL 2026 ·

   Shengbo Gong

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3. Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series?
   ACL 2026 ·

   Zewen Liu

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4. Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations
   ACL 2026 ·

   Haitong Luo

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5. Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models
   AAAI 2026 ·

   Yu Fu

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6. Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
   ACL 2026 ·

   Ziyi Wang

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7. A General Framework to Enhance Fine-tuning-based LLM Unlearning
   ACL 2025 ·

   Jie Ren

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8. A Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness
   SIGKDD 2025 ·

   Fali Wang

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9. A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
   AISTATS 2025 ·

   Yingqian Cui

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10. AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
    NeurIPS 2025 ·

    Fali Wang

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11. Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
    EMNLP 2025 ·

    Jiankun Zhang

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12. Catastrophic Failure of LLM Unlearning via Quantization
    ICLR 2025 ·

    Zhiwei Zhang

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13. Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
    ACL 2025 ·

    Xianren Zhang

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14. DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
    EMNLP 2025 ·

    Fenglin Liu

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15. Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce
    SIGIR 2025 ·

    Jingying Zeng

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16. IHEval: Evaluating Language Models on Following the Instruction Hierarchy
    NAACL 2025 ·

    Zhihan Zhang

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17. Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
    NeurIPS 2025 ·

    Jie Ren

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18. Large Language Model for E-Commerce Workshop
    WWW 2025 ·

    Haoyu Han

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19. Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
    EMNLP 2025 ·

    Yunzhe Qi

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20. Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data
    NAACL 2025 ·

    Juanhui Li

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21. Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
    ICML 2025 ·

    Tianci Liu

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22. Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
    ACL 2025 ·

    Haoyu Han

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23. ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration
    SIGKDD 2025 ·

    Mengting Ai

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24. SUA: Stealthy Multimodal Large Language Model Unlearning Attack
    EMNLP 2025 ·

    Xianren Zhang

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25. SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances
    SIGKDD 2025 ·

    Wei Jin

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26. SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
    NAACL 2025 ·

    Ran Xu

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27. Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
    ACL 2025 ·

    Yingqian Cui

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28. The 2nd Workshop on Large Language Models for E-Commerce
    SIGKDD 2025 ·

    Haoyu Han

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29. Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
    ICLR 2025 ·

    Tianci Liu

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30. ViLBench: A Suite for Vision-Language Process Reward Modeling
    EMNLP 2025 ·

    Haoqin Tu

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31. BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
    EMNLP 2024 ·

    Haoyu Wang

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32. Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
    ACL 2024 ·

    Bowen Jin

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33. Language Models as Semantic Indexers
    ICML 2024 ·

    Bowen Jin

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34. Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
    EMNLP 2024 ·

    Fenglin Liu

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35. LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data
    ICDE 2024 ·

    Haoyu Wang

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36. RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition
    ICLR 2024 ·

    Zhenwei Dai

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37. Sequential LLM Framework for Fashion Recommendation
    EMNLP 2024 ·

    Han Liu

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38. Session-Aware Product filter Ranking in E- Commerce Search
    ICLR 2024 ·

    Hanqing Lu

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39. Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models
    NeurIPS 2024 ·

    Yilun Jin

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40. The 1st International Workshop on Graph Foundation Models (GFM)
    WWW 2024 ·

    Haitao Mao

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41. Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
    ICLR 2024 ·

    Tianxin Wei

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