Zhaozhuo Xu

Venues

Frequent coauthors

Papers

1. Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG
   ACL 2026 ·

   Chuang Zhou

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2. Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks
   ACL 2026 ·

   Guangwei Zhang

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3. Query-Aware Knowledge Retrieval via Hyperbolic Structuring
   ACL 2026 ·

   Chuang Zhou

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4. ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation
   NAACL 2025 ·

   Yanzhou Pan

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5. Building Self-Awareness of LLMs Over Weight Quantization
   ICDM 2025 ·

   Alexander Poon

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6. Compression-Aware Computing for Scalable and Sustainable AI
   AAAI 2025 · Zhaozhuo Xu
7. DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic
   EMNLP 2025 ·

   Yuheng Wu

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8. Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory
   UAI 2025 ·

   Jiehao Liang

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9. Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks
   ICML 2025 ·

   Yanzhou Pan

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10. Profiling LLM's Copyright Infringement Risks under Adversarial Persuasive Prompting
    EMNLP 2025 ·

    Jikai Long

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11. Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context
    EMNLP 2025 ·

    Rushi Wang

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12. Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate
    ICML 2025 ·

    Jiahe Du

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13. Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation
    ICML 2025 ·

    Tianyi Zhang

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14. Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation
    ACL 2025 ·

    Chuang Zhou

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15. Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly
    EMNLP 2025 ·

    Wenya Xie

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16. Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
    ICLR 2025 ·

    Wentao Guo

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17. Do LLMs Know to Respect Copyright Notice?
    EMNLP 2024 ·

    Jialiang Xu

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18. FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
    NeurIPS 2024 ·

    Yangyang Yu

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19. GNNs Also Deserve Editing, and They Need It More Than Once
    ICML 2024 ·

    Shaochen (Henry) Zhong

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20. In Defense of Structural Sparse Adapters for Concurrent LLM Serving
    EMNLP 2024 ·

    Junda Su

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21. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
    ICML 2024 ·

    Zirui Liu

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22. KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches
    EMNLP 2024 ·

    Jiayi Yuan

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23. KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
    NeurIPS 2024 ·

    Tianyi Zhang

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24. Knowledge Graphs Can be Learned with Just Intersection Features
    ICML 2024 ·

    Duy Le

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25. NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
    NeurIPS 2024 ·

    Tianyi Zhang

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26. QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware
    EMNLP 2024 ·

    Chuang Zhou

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27. SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
    NeurIPS 2024 ·

    Yang Zhou

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28. ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency
    EMNLP 2024 ·

    Yuhang Yao

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29. Soft Prompt Recovers Compressed LLMs, Transferably
    ICML 2024 · Zhaozhuo Xu
30. TVE: Learning Meta-attribution for Transferable Vision Explainer
    ICML 2024 ·

    Guanchu Wang

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31. TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
    EMNLP 2024 ·

    Dimitris Stripelis

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32. Token-wise Influential Training Data Retrieval for Large Language Models
    ACL 2024 ·

    Huawei Lin

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