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Xiaohua Wang

Ph.D. Student
Fudan University
xhwang24@m.fudan.edu.cn


About Me

I’m currently a Ph.D. student (from fall 2022) at the School of Computer Science of Fudan University and a member of the FudanNLP Lab, supervised by A.P. Xiaoqing Zheng (郑骁庆) and Prof. Xuanjing Huang (黄萱菁).

My research interests primarily focus on LLM Alignment, Safety, and Retrieval-Augmented Generation (RAG). I am currently working on post-training for Foundation Models, LLM Personalization, and Agentic Reinforcement Learning.

I have led first-author research published at NeurIPS, ACL, and EMNLP, and have also contributed as a co-author to works appearing at ICML, ICLR, NAACL, COLING, AAAI, and the journal Expert Systems with Applications.

Phone/Wechat: (+86)17866553723. Please feel free to reach out to me.

Research Interests

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Publications

  1. EMNLP 2024
    Searching for Best Practices in Retrieval-Augmented Generation
    X Wang, Z Wang, X Gao, F Zhang, Y Wu, Z Xu, T Shi, Z Wang, S Li, Q Qian, R Yin, C Lv, X Zheng, X Huang
    Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
    PDF Code Main Conference

  2. NeurIPS 2025
    Chain-of-Model Learning for Language Model
    X Wang, K Song, X Tan, H Jiang, C Zhang, Y Shen, C Lu, Z Li, Z Song, C Shan, Y Wang, K Ren, X Zheng, T Qin, Y Yang, D Li, L Qiu
    The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
    PDF Code Project Page Poster

  3. EMNLP 2023
    Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation
    X Wang, Y Yan, L Huang, X Zheng, X Huang
    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
    PDF Code Main Conference

  4. ACL 2024
    Aligning Large Language Models with Human Preferences through Representation Engineering
    W Liu*, X Wang*, M Wu, T Li, C Lv, Z Ling, J Zhu, C Zhang, X Zheng, X Huang (*co-first author)
    The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
    PDF Code Main Conference

  5. ACL 2025
    Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
    H Xu*, X Wang*, C Lv, X Zheng (*co-first author)
    The 63nd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
    PDF Code Main Conference

  6. Arxiv
    Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement
    X Wang*, Z Huang*, F Zhang, Z Xu, C Zhang, X Zheng, X Huang (*co-first author)
    ESWA under review
    PDF

  7. ICML 2025
    Dendritic Localized Learning: Toward Biologically Plausible Algorithm
    C Lv*, J Xu*, Y Lu*, X Wang, Z Wang, Z Xu, D Yu, X Du, X Zheng, X Huang
    Forty-Second International Conference on Machine Learning.
    PDF Code Poster

  8. EMNLP 2023
    Measure Children's Mindreading Ability with Machine Reading
    Y Yan, X Wang, X Zhou, X Zheng, X Huang
    Findings of the Association for Computational Linguistics, EMNLP 2023.
    PDF Code Findings

  9. ACL 2025
    Advancing Parameter Efficiency in Fine-tuning via Representation Editing
    M Wu, W Liu, X Wang, T Li, C Lv, Z Ling, J Zhu, C Zhang, X Zheng, X Huang
    The 63nd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
    PDF Code Main Conference

  10. COLING 2025
    Revisiting Jailbreaking for Large Language Models:A Representation Engineering Perspective
    T Li, Z Wang, W Liu, M Wu, S Dou, C Lv, X Wang, X Zheng, X Huang
    The 31st International Conference on Computational Linguistics, COLING 2025.
    PDF Main Conference

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