Wei Liu

Venues

Frequent coauthors

Papers

1. Attention Basin: Why Contextual Position Matters in Large Language Models
   ACL 2026 ·

   Zihao Yi

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2. C2-Cite: Contextual-Aware Citation Generation for Attributed Large Language Models
   WSDM 2026 ·

   Yue Yu

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3. End-to-End Optimization of LLM-Driven Multi-Agent Search Systems via Heterogeneous-Group-Based Reinforcement Learning
   ACL 2026 ·

   Guanzhong Chen

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4. MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment
   ACL 2026 ·

   Qinzhuo Wu

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5. Revisiting Entropy in Reinforcement Learning for Large Reasoning Models
   ACL 2026 ·

   Renren Jin

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6. STEP: Success-Rate-Aware Trajectory-Efficient Policy Optimization
   ACL 2026 ·

   Yuhan Chen

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7. VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization
   ACL 2026 ·

   Dingyu Yao

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8. BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism
   EMNLP 2025 ·

   Qinzhuo Wu

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9. Browsing Like Human: A Multimodal Web Agent with Experiential Fast-and-Slow Thinking
   ACL 2025 ·

   Haohao Luo

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10. Demystifying Small Language Models for Edge Deployment
    ACL 2025 ·

    Zhenyan Lu

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11. Global Eye: Breaking the "Fixed Thinking Pattern" during the Instruction Expansion Process
    ACL 2025 ·

    Wenxuan Lu

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12. HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation
    ACL 2025 ·

    Yuhan Chen

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13. MAKAR: a Multi-Agent framework based Knowledge-Augmented Reasoning for Grounded Multimodal Named Entity Recognition
    EMNLP 2025 ·

    Xinkui Lin

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14. MobileSteward: Integrating Multiple App-Oriented Agents with Self-Evolution to Automate Cross-App Instructions
    SIGKDD 2025 ·

    Yuxuan Liu

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15. More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
    ACL 2025 ·

    Xiaoqing Zhang

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16. Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study
    NAACL 2025 ·

    Menglong Cui

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17. Optimize Quantization for Large Language Models via Progressive Training
    WWW 2025 ·

    Jiangcun Du

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18. ReachAgent: Enhancing Mobile Agent via Page Reaching and Operation
    NAACL 2025 ·

    Qinzhuo Wu

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19. SPO: Self Preference Optimization with Self Regularization
    EMNLP 2025 ·

    Yuhao Sun

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20. Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
    AAAI 2025 ·

    Xiaolin Hu

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21. TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization
    ACL 2025 ·

    Dingyu Yao

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22. Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
    IJCAI 2025 ·

    Xinhao Yao

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23. Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains
    ACL 2025 ·

    Juntian Zhang

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24. A Comprehensive Evaluation of Quantization Strategies for Large Language Models
    ACL 2024 ·

    Renren Jin

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25. DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy
    ACL 2024 ·

    Hongda Sun

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26. Mixture of Diverse Size Experts
    EMNLP 2024 ·

    Manxi Sun

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27. Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
    ACL 2024 ·

    Shihan Deng

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28. MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding
    EMNLP 2024 ·

    Qinzhuo Wu

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29. Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations
    ACL 2024 ·

    Bowen Shen

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30. SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM
    ECAI 2024 ·

    Quandong Wang

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31. ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback
    EMNLP 2024 ·

    Qinzhuo Wu

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