Yue Huang (黄跃)
 |
PhD Student of Computer and Science
Fitzpatrick Hall of Engineering, Notre Dame, IN 46556 USA Google Scholar · Github · LinkedIn · X |
About Me
I’m a first-year PhD student in MINE Lab of Computer Science and Engineering (CSE) at the University of Notre Dame began from Fall 2024, supervised by Prof. Xiangliang Zhang. I’m also a graduate student in Foundation Models and Applications Lab (FMAL) at Lucy Family Institute for Data & Society. I obtained my bachelor’s degree from Sichuan University in 2024. I am working with Prasanna Sattigeri this summer at MIT-IBM Watson AI Lab, and closely collaborate with Pin-Yu Chen.
Previously, I was a visiting student under the guidance of Prof. Lichao Sun. This experience was enhanced by mentorship from Prof. Philip S. Yu. Earlier before, I worked under Prof. Tang Jie and Dr. Xiao Liu at Tsinghua University.
I welcome the opportunity to connect with colleagues in my field as well as those from interdisciplinary areas, as I believe collaboration is immensely valuable.
My recent research has been centered on scientific foundation models, with a particular emphasis on their trustworthiness. Concurrently, I am working on the development of dynamic evaluation protocols tailored for generative models.
If you are interested in my research, please feel free to contact me
via email or in-person conversation.
Research Interests
My research is centered on three pivotal questions:
News
Selected Publications
Disclaimer: This material is presented to ensure the timely dissemination of scholarly works. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms invoked by each author’s copyright.
*: Equal Contribution
DataGen: Unified Synthetic Dataset Generation via Large Language Models
Yue Huang*, Siyuan Wu*, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, et al.
The Thirteenth International Conference on Learning Representations (ICLR 2025)
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
Jiayi Ye*, Yanbo Wang*, Yue Huang*, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang
The Thirteenth International Conference on Learning Representations (ICLR 2025)
GUI-World: A GUI-oriented Dataset for Multimodal LLM-based Agents
Dongping Chen*, Yue Huang*, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, et al.
The Thirteenth International Conference on Learning Representations (ICLR 2025)
Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment
Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna
The Thirteenth International Conference on Learning Representations (ICLR 2025 Spotlight)
Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models
Zixiang Xu*, Yanbo Wang*, Yue Huang*, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis
Yicheng Lang*, Kehan Guo*, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang
Findings of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025 Findings)
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
Qihui Zhang, Munan Ning, Zheyuan Liu, Yanbo Wang, Jiayi Ye, Yue Huang, Shuo Yang, Xiao Chen, Yibing Song, Li Yuan
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025)
TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models
Yanbo Wang*, Jiayi Ye*, Siyuan Wu*, Chujie Gao, Yue Huang, Xiuying Chen, Yue Zhao, Xiangliang Zhang
2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics -- System Demonstration (NAACL 2025 Demo)
TrustLLM: Trustworthiness in Large Language Models
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, et al.
2024 International Conference on Machine Learning (ICML 2024)
(Highlighted by United States Department of Homeland Security (DHS) & International AI Safety Report, Invited Talk at IBM Research)
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, et al.
The Twelfth International Conference on Learning Representations (ICLR 2024)
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
Yue Huang*, Chenrui Fan*, Yuan Li, Siyuan Wu, et al.
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)
HonestLLM: Toward an Honest and Helpful Large Language Model
Chujie Gao*, Siyuan Wu*, Yue Huang*, Dongping Chen*, Qihui Zhang*, et al.
Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
Optimization-based Prompt Injection Attack to LLM-as-a-Judge
Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
The ACM Conference on Computer and Communications Security (ACM CCS 2024)
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
Qihui Zhang*, Chujie Gao*, Dongping Chen*, Yue Huang, et al.
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL 2024)
AlignBench: Benchmarking Chinese Alignment of Large Language Models
Xiao Liu*, Xuanyu Lei*, Shengyuan Wang, Yue Huang, Zhuoer Feng, et al.
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire
Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun
2024 ACM Web Conference (WWW 2024)
Talks
Honors and Awards
Academic Participation
-
Journal Reviewer: Nature Communication, IEEE Transactions on Artificial Intelligence (TAI), IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), ACM Transactions on Intelligent Systems and Technology (ACM TIST)
-
Conference Reviewer: NeurIPS, ICLR, ICML, ICDM, WWW, COLM, ACL Rolling Review, EMNLP Demo Track (2024), NAACL Demo Track (2025), ACL Demo Track (2025)
-
Technical Committee Member of 2024 IEEE Computer Society North America Student Challenge
Educations
Present
Jun. 2024
Internships
present
Jan. 2024
Misc
-
I spent 18 years in my hometown, Fujian 🇨🇳, and had 4 wonderful years of university life in Sichuan 🌶️ (I can handle spicy food!).
-
I love exchanging ideas with people from different fields 🌍—it helps me see the world more broadly.
-
My favorite singers are Eason Chan and Steve Chou;小剛 🎤. Lately, I’ve been listening to Evangeline Wong;王艷薇 🎶.
-
My favorite sports are swimming 🏊 and badminton 🏸. I also enjoy capturing scenic moments with my camera 📷.
-
I’m deeply grateful to those who’ve helped me along the way 🙏—thank you for helping me go further!