Mo Yu

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Frequent coauthors

Papers

1. ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
   AAAI 2026 ·

   Juyuan Wang

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2. ReFreeKV: Towards Threshold-Free KV Cache Compression
   ACL 2026 ·

   Xuanfan Ni

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3. Situated Embedding Models for Context-Aware Dense Retrieval
   ACL 2026 ·

   Junjie Wu

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4. Coherency Improved Explainable Recommendation via Large Language Model
   AAAI 2025 ·

   Shijie Liu

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5. Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings
   EMNLP 2025 ·

   Liyan Xu

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6. DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models
   EMNLP 2025 ·

   Tsz Ting Chung

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7. The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters
   ACL 2025 ·

   Chulun Zhou

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8. The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding
   NAACL 2025 · Mo Yu
9. Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task
   NAACL 2025 ·

   Junjie Wu

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10. Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
    ICML 2024 · Mo Yu
11. Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions
    ACL 2024 ·

    Liyan Xu

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12. Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy
    EMNLP 2024 ·

    Liyan Xu

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13. On Large Language Models' Hallucination with Regard to Known Facts
    NAACL 2024 ·

    Che Jiang

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14. On the token distance modeling ability of higher RoPE attention dimension
    EMNLP 2024 ·

    Xiangyu Hong

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15. Plot Retrieval as an Assessment of Abstract Semantic Association
    ACL 2024 ·

    Shicheng Xu

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16. Rethinking the Evaluation of In-Context Learning for LLMs
    EMNLP 2024 ·

    Guoxin Yu

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17. Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
    ACL 2024 ·

    Shicheng Xu

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