Jeff Z. Pan

Venues

Frequent coauthors

Papers

1. Beyond Timestamps: Bridging Forward and Backward Reasoning in Temporal Numerical and Relational Understanding
   ACL 2026 ·

   Xinying Qian

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2. Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
   ACL 2026 ·

   Haoming Xu

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3. MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Long-tail Knowledge
   ACL 2026 ·

   Jie He

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4. MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents
   AAAI 2026 ·

   Yiming Du

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5. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
   ACL 2026 ·

   Sikuan Yan

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6. Mitigating Context Interference for Reliable and Efficient Search Agents
   ACL 2026 ·

   Boyang Xue

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7. ODL-TempLLM: Ontology-Guided and Description Logic-Reasoned Temporal Reasoning with LLMs
   ACL 2026 ·

   Jinshuo Liu

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8. Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs
   WWW 2026 ·

   Yanlin Song

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9. ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference
   AAAI 2026 ·

   Zhenpeng Li

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10. Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize
    ACL 2026 ·

    Hongru Wang

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11. Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint)
    AAAI 2026 ·

    Xinyan Wang

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12. TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws
    AAAI 2026 ·

    Nan Hu

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13. Uncovering and Mitigating Transient Blindness in Multimodal Model Editing
    AAAI 2026 ·

    Xiaoqi Han

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14. A Controllable Examination for Long-Context Language Models
    NeurIPS 2025 ·

    Yijun Yang

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15. Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
    ACL 2025 ·

    Nan Hu

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16. Dark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning
    ACM MM 2025 ·

    Yu Zhao

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17. Decomposing and Revising What Language Models Generate
    ECAI 2025 ·

    Zhichao Yan

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18. Don't Forget the Base Retriever! A Low-Resource Graph-based Retriever for Multi-hop Question Answering
    EMNLP 2025 ·

    André Melo

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19. Evaluating and Improving Graph to Text Generation with Large Language Models
    NAACL 2025 ·

    Jie He

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20. From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle
    ICLR 2025 ·

    Kaustubh Vyas

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21. GeAR: Graph-enhanced Agent for Retrieval-augmented Generation
    ACL 2025 ·

    Zhili Shen

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22. GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation
    ACL 2025 ·

    Jie He

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23. LLM Shots: Best Fired at System or User Prompts?
    WWW 2025 ·

    Umut Halil

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24. Long-Form Information Alignment Evaluation Beyond Atomic Facts
    EMNLP 2025 ·

    Danna Zheng

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25. Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation
    ACL 2025 ·

    Wenyu Huang

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26. MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning Steps
    NAACL 2025 ·

    Xiongtao Zhou

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27. Multi-level Matching Network for Multimodal Entity Linking
    SIGKDD 2025 ·

    Zhiwei Hu

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28. Multi-level Mixture of Experts for Multimodal Entity Linking
    SIGKDD 2025 ·

    Zhiwei Hu

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29. ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
    NeurIPS 2025 ·

    Mingyang Chen

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30. Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challenges
    ACL 2025 ·

    Hongru Wang

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31. Schema-Constrained Grammar-Guided Generation of GQL Queries from Natural Language
    ISWC 2025 ·

    André Melo

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32. Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst
    ACL 2025 ·

    Hongru Wang

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33. TS-SQL: Test-driven Self-refinement for Text-to-SQL
    EMNLP 2025 ·

    Wenbo Xu

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34. [PromptEng] Second International Workshop on Prompt Engineering for Pre-Trained Language Models
    WWW 2025 ·

    Damien Graux

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35. A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product Offers
    SIGIR 2024 ·

    Wenyu Huang

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36. A Usage-centric Take on Intent Understanding in E-Commerce
    EMNLP 2024 ·

    Wendi Zhou

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37. An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models
    ACL 2024 ·

    Xiongtao Zhou

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38. AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction
    EMNLP 2024 ·

    Hongru Wang

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39. CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
    EMNLP 2024 ·

    Yike Wu

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40. Empowering Large Language Models: Tool Learning for Real-World Interaction
    SIGIR 2024 ·

    Hongru Wang

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41. Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning
    EMNLP 2024 ·

    Zhili Shen

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42. Inference Helps PLMs' Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs
    EMNLP 2024 ·

    Juncai Li

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43. InstructEd: Soft-Instruction Tuning for Model Editing with Hops
    ACL 2024 ·

    Xiaoqi Han

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44. InstructIE: A Bilingual Instruction-based Information Extraction Dataset
    ISWC 2024 ·

    Honghao Gui

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45. Knowledge-Aware Neuron Interpretation for Scene Classification
    AAAI 2024 ·

    Yong Guan

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46. Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
    EMNLP 2024 ·

    Junjie Wang

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47. Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
    EMNLP 2024 ·

    Wenyu Huang

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48. UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing
    NAACL 2024 ·

    Yijun Yang

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49. [PromptEng] First International Workshop on Prompt Engineering for Pre-Trained Language Models
    WWW 2024 ·

    Damien Graux

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