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Zhaoyang Wang

Ph.D. Student in CS
University of North Carolina
at Chapel Hill
[email protected] where X=first name

Publications [ Google Scholar ]

    2025

  1. TrustRAG: Enhancing Robustness and Trustworthiness in RAG
    Huichi Zhou, Lee KinHei, Zhonghao Zhan, Yue Chen, Zhenhao Li, Zhaoyang Wang, Huaxiu Yao, Hamed Haddadi, Emine Yilmaz
    Arxiv Preprint 2025. (Preprint)
  2. MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation
    Haibo Tong, Zhaoyang Wang, Zhaorun Chen, Haonian Ji, Shi Qiu, Siwei Han, Kexin Geng, Zhongkai Xue, Yiyang Zhou, Peng Xia, et al.
    Arxiv Preprint 2025. (Preprint)
  3. AnyPrefer: An Automatic Framework for Preference Data Synthesis
    Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, et al.
    Proceeding of the 13th International Conference on Learning Representations. (ICLR 2025)
  4. CREAM: Consistency Regularized Self-Rewarding Language Models
    Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao
    Proceeding of the 13th International Conference on Learning Representations. (ICLR 2025)
  5. MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
    Peng Xia, Siwei Han, Shi Qiu, Yiyang Zhou, Zhaoyang Wang, Wenhao Zheng, Zhaorun Chen, Chenhang Cui, Mingyu Ding, Linjie Li, Lijuan Wang, Huaxiu Yao
    Proceeding of the 13th International Conference on Learning Representations. (ICLR 2025)
  6. Verifiable Format Control for Large Language Model Generations
    Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
    Findings of 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics. (NAACL 2025)
  7. Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
    Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, et al.
    Findings of 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics. (NAACL 2025)

    8. 2024

  8. CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
    Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, ......, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, et al.
    The Thirty-Seventh Annual Conference on Neural Information Processing Systems. (NeurIPS 2024)
  9. Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models
    Huichi Zhou, Zhaoyang Wang, Hongtao Wang, Dongping Chen, Wenhan Mu, Fangyuan Zhang
    Findings of the Association for Computational Linguistics ACL 2024. (ACL 2024)

    10. 2023

  10. Democratizing Reasoning Ability: Tailored Learning from Large Language Model
    Zhaoyang Wang, Shaohan Huang, Yuxuan Liu, Jiahai Wang, Minghui Song, Zihan Zhang, Haizhen Huang, Furu Wei, et al.
    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. (EMNLP 2023)
  11. RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks
    Zhaoyang Wang, Zhiyue Liu, Xiaopeng Zheng, Qinliang Su, Jiahai Wang
    Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. (ACL 2023)

    12. 2022 & Earlier

  12. A Coarse-to-Fine Training Paradigm for Dialogue Summarization
    Zhiyue Liu, Zhaoyang Wang, Jiahai Wang
    The 31st International Conference on Artificial Neural Networks. (ICANN 2022)
  13. UECA-Prompt: Universal Prompt for Emotion Cause Analysis
    Xiaopeng Zheng, Zhiyue Liu, Zizhen Zhang, Zhaoyang Wang, Jiahai Wang
    Proceedings of the 29th International Conference on Computational Linguistics. (COLING 2022)
  14. Defense of Word-level Adversarial Attacks via Random Substitution Encoding
    Zhaoyang Wang, Hongtao Wang
    The 13th International Conference on Knowledge Science, Engineering and Management. (KSEM 2020)



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