Publications
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*: Equal Contribution
Conference
2025
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)
[Code]
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking
Xiangqi Wang*, Yue Huang*, Yanbo Wang, Xiaonan Luo, Kehan Guo, Yujun Zhou, Xiangliang Zhang
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025 Spotlight)
[Code]
EmoNest: Crafting Emotionally-Adaptive Experiences with Generative AI
Yue Huang, Siyuan Wu
The Thirty-ninth Annual Conference on Neural Information Processing Systems Creative AI Track: Humanity (NeurIPS 2025 Creative AI Track)
DyFlow: Dynamic Workflow Framework for Agentic Reasoning
Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)
Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
Yanbo Wang*, Zixiang Xu*, Yue Huang*, Chujie Gao, Siyuan Wu, Jiayi Ye, Pin-Yu Chen, Xiuying Chen, Xiangliang Zhang
The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)
[Code]
Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings
Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang
34th ACM International Conference on Information and Knowledge Management (CIKM 2025)
Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models
Chujie Gao, Yue Huang, Xiangqi Wang, Siyuan Wu, Nitesh Chawla, Xiangliang Zhang
34th ACM International Conference on Information and Knowledge Management (CIKM 2025)
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study
Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang
Findings of The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Findings)
[Code]
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)
[Toolkit] [Website] [Tutorial Video]
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)
[Website]
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)
[Website] [Dataset] [Model]
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond
Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Prayel Das, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang
2025 International Joint Conference on Artificial Intelligence (IJCAI 2025)
[Github]
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)
[Website] [Code]
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)
[Code] [Tutorial Video] [Docs.]
2024
TrustLLM: Trustworthiness in Large Language Models
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, 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)
[Code&Toolkit] [Website] [Dataset] [Docs.]
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)
[Code]
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)
[Code]
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)
[Code]
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)
[Code] [Website]
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)
[Code] [Website]
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)
2023
CyberEA: An Efficient Entity Alignment Framework for Cybersecurity Knowledge Graph
Yue Huang, Yongyan Guo, Cheng Huang
EAI International Conference on Security and Privacy in Communication Networks (SecureComm 2023)
Tutorial
2026
Towards Trustworthy and Socially Responsible Generative Foundation Models
Yue Huang, Zhenhong Zhou, Pin-Yu Chen, Xiangliang Zhang
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026 Tutorial)
2025
Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices
Yue Huang, Canyu Chen, Lu Cheng, Bhavya Kailkhura, Nitesh Chawla, Xiangliang Zhang
The 34th International Conference on Information and Knowledge Management (CIKM 2025 Tutorial)
Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu
The 34th International Conference on Information and Knowledge Management (CIKM 2025 Tutorial)
Responsible GenFMs: From Foundational Principles to Real-World Impact
Yue Huang, Canyu Chen, Lu Cheng, Bhavya Kailkhura, Manling Li, Xiangliang Zhang
2025 IEEE International Conference on Data Mining (ICDM 2025 Tutorial)