Lu Wang

Venues

Frequent coauthors

Papers

1. Break Through the Compression Bottleneck: From Theory to Practice
   ACL 2026 ·

   Xiusheng Huang

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2. DUET: Joint Exploration of User-Item Profiles in Recommendation System
   ACL 2026 ·

   Yue Chen

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3. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
   ACL 2026 ·

   Qibin Wang

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4. RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository
   ACL 2026 ·

   Zhiyuan Peng

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5. Theory-optimal Quantization Based on Flatness
   ACL 2026 ·

   Xiusheng Huang

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6. Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
   ACL 2026 ·

   Mengqi Liao

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7. AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
   ACL 2025 ·

   Junting Lu

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8. AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
   EMNLP 2025 ·

   Runchuan Zhu

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9. ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM
   EMNLP 2025 · Lu Wang
10. LettinGo: Explore User Profile Generation for Recommendation System
    SIGKDD 2025 · Lu Wang
11. ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In the Cloud
    MLSys 2025 · Lu Wang
12. RuAG: Learned-rule-augmented Generation for Large Language Models
    ICLR 2025 ·

    Yudi Zhang

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13. Self-Evolved Reward Learning for LLMS
    ICLR 2025 ·

    Chenghua Huang

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14. Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
    EMNLP 2025 ·

    Kaikai An

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15. Token-level Proximal Policy Optimization for Query Generation
    EMNLP 2025 ·

    Yichen Ouyang

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16. WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
    ACL 2025 ·

    Huawen Feng

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17. AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
    EMNLP 2024 ·

    Jia Fu

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18. Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
    AAAI 2024 ·

    Shangding Gu

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19. COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
    CIKM 2024 · Lu Wang
20. Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
    ACL 2024 ·

    Ruomeng Ding

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21. Interpretable Imitation Learning with Dynamic Causal Relations
    WSDM 2024 ·

    Tianxiang Zhao

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22. Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides
    ECAI 2024 ·

    Kaikai An

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23. SELF-GUARD: Empower the LLM to Safeguard Itself
    NAACL 2024 ·

    Zezhong Wang

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24. SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation
    UAI 2024 ·

    Tong Cheng

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