| 2026 | ACL | MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues. | Zheyuan Liu, Dongwhi Kim, Yixin Wan, Xiangchi Yuan, Zhaoxuan Tan, Fengran Mo, Meng Jiang |
| 2026 | ACL | Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society. | Zheyuan Liu, Yixin Wan, Kai-Wei Chang, Meng Jiang, Jieyu Zhao, Nouha Dziri, Yuning Mao, Jia-Chen Gu, Jindong Gu |
| 2026 | ACL | InsideOut: Measuring and Mitigating Insider-Outsider Bias in Interview Script Generation. | Yixin Wan, Xingrun Chen, Kai-Wei Chang |
| 2026 | ACL | VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval. | Di Wu, Yixin Wan, Kai-Wei Chang |
| 2025 | ACL | V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning. | Zongyu Lin, Zhikun Xu, Xiaohan Song, Yixin Wan, Xingcheng Yao, Tsung-Han Lin, Selina Song, Pranav Subbaraman, Ben Zhou, Kai-Wei Chang, Yizhou Sun |
| 2025 | ACL | White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs. | Yixin Wan, Kai-Wei Chang |
| 2025 | ACL | The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects. | Yixin Wan, Kai-Wei Chang |
| 2025 | EMNLP | Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases. | Jen-tse Huang, Yuhang Yan, Linqi Liu, Yixin Wan, Wenxuan Wang, Kai-Wei Chang, Michael R. Lyu |
| 2025 | EMNLP | LUME: LLM Unlearning with Multitask Evaluations. | Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta |
| 2025 | EMNLP | Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models. | Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta |
| 2025 | ICLR | MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. | Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu |
| 2024 | EMNLP | The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention. | Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang |
| 2024 | EMNLP | MACAROON: Training Vision-Language Models To Be Your Engaged Partners. | Shujin Wu, Yi Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji |
| 2023 | ACL | PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. | Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang |
| 2023 | EMNLP | TheoremQA: A Theorem-driven Question Answering Dataset. | Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia |
| 2023 | EMNLP | "Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters. | Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng |
| 2023 | EMNLP | Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. | Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang |
| 2023 | Interspeech | ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression. | Yixin Wan, Yuan Zhou, Xiulian Peng, Kai-Wei Chang, Yan Lu |
| 2022 | ACL | Improving the Adversarial Robustness of NLP Models by Information Bottleneck. | Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh |