Yue Huang (黄跃)
PhD Student of Computer and Science · University of Notre Dame
About Me
I’m a second-year PhD student in MINE Lab of Computer Science and Engineering (CSE) at the University of Notre Dame began from Fall 2024, supervised by Leonard C. Bettex Collegiate 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. In 2025 summer, I worked with Prasanna Sattigeri and Pin-Yu Chen at MIT-IBM Watson AI Lab and IBM Research AI. 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.
- My recent research centers on: (1) the science of foundation models, with a particular emphasis on their trustworthiness; (2) edge or tailed alignment of foundation models; and (3) dynamic evaluation protocols tailored for generative models.
- If you are interested in my research, please contact me via email or for an in-person conversation.
Research Interests
My research is centered on three pivotal questions:
News
Highlight
Incoming Tutorials at CIKM'25, ICDM'25 and AAAI'26:
- Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices (CIKM 2025, ICDM 2025)
- Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era (CIKM 2025)
- Towards Trustworthy and Socially Responsible Generative Foundation Models (AAAI 2026)
January 20-27, 2026 | Singapore
November 10–14, 2025 | Seoul, Korea
Selected Publications (Full 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
ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
Yue Huang*, Zhengzhe Jiang*, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)
Exposing and Patching the Flaws of Large Language Models in Social Character Simulation
Yue Huang*, Zhengqing Yuan*, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang
Second Conference on Language Modeling (COLM 2025)
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)
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)
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)
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 (2025-), ICLR (2024-), ICML (2025-), AAAI (2025-), KDD (2025-), ICDM (2024-), WWW (2024-), COLM (2025-), ACL Rolling Review (2024-), 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
Aug. 2025
Jan. 2024
Acknowledgment
I am honored that my research is funded, supported, or recognized by:
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 Patti Tsai.
-
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!