Huazheng Wang

Venues

Frequent coauthors

Papers

1. Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation
   AAAI 2026 · Huazheng Wang
2. Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
   ACL 2026 · Huazheng Wang
3. Example Quality Matters: Multi-Aspects Example Augmentation for Private Library Programming
   ACL 2026 ·

   Yuhao Li

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4. A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
   ICLR 2025 ·

   Hui Yuan

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5. Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
   NeurIPS 2025 ·

   Zichen Wang

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6. Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents
   EMNLP 2025 ·

   Jiale Liu

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7. Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
   NeurIPS 2025 ·

   Menghao Zhang

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8. Efficient and Robust Reinforcement Learning from Human Feedback
   AAAI 2025 · Huazheng Wang
9. Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects?
   NAACL 2025 ·

   Yixiao He

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10. FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
    AAAI 2025 ·

    Tanapol Kosolwattana

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11. Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
    ICML 2025 ·

    Zichen Wang

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12. SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement
    EMNLP 2025 ·

    Chelsi Jain

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13. The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking
    EMNLP 2025 ·

    Yaoyao Qian

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14. The Threat of PROMPTS in Large Language Models: A System and User Prompt Perspective
    ACL 2025 ·

    Zixuan Xia

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15. TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling
    EMNLP 2025 ·

    Jiahao Qiu

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16. Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio
    EMNLP 2025 ·

    Yiran Yang

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17. Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
    ICML 2025 ·

    Shaokun Zhang

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18. Adversarial Attacks on Combinatorial Multi-Armed Bandits
    ICML 2024 ·

    Rishab Balasubramanian

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19. Conversational Dueling Bandits in Generalized Linear Models
    SIGKDD 2024 ·

    Shuhua Yang

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20. MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning
    NAACL 2024 · Huazheng Wang
21. PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
    ICLR 2024 ·

    Souradip Chakraborty

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22. Pure Exploration in Asynchronous Federated Bandits
    UAI 2024 ·

    Zichen Wang

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23. RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
    NeurIPS 2024 ·

    Yujie Zhao

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24. SSS: Editing Factual Knowledge in Language Models towards Semantic Sparse Space
    ACL 2024 · Huazheng Wang
25. Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
    AAAI 2024 ·

    Zhiwei Wang

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26. Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
    AAAI 2024 ·

    Jiahao Qiu

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27. Video Anomaly Detection via Progressive Learning of Multiple Proxy Tasks
    ACM MM 2024 ·

    Menghao Zhang

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