Yixin Wan

According to our database, Yixin Wan authored at least 25 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Which Cultural Lens Do Models Adopt? On Cultural Positioning Bias and Agentic Mitigation in LLMs.

Yixin Wan, Xingrun Chen, Kai-Wei Chang

CoRR, September, 2025

Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning.

Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta

CoRR, June, 2025

Visualized Text-to-Image Retrieval.

Di Wu, Yixin Wan, Kai-Wei Chang

CoRR, May, 2025

CompAlign: Improving Compositional Text-to-Image Generation with a Complex Benchmark and Fine-Grained Feedback.

Yixin Wan, Kai-Wei Chang

CoRR, May, 2025

SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models.

Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta

CoRR, April, 2025

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

CoRR, February, 2025

Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related Queries.

Jen-tse Huang, Yuhang Yan, Linqi Liu, Yixin Wan, Wenxuan Wang, Kai-Wei Chang, Michael R. Lyu

CoRR, February, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs.

Yixin Wan, Kai-Wei Chang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory.

Eric Hanchen Jiang, Yasi Zhang, Zhi Zhang, Yixin Wan, Andrew Lizarraga, Shufan Li, Ying Nian Wu

CoRR, 2024

White Men Lead, Black Women Help: Uncovering Gender, Racial, and Intersectional Bias in Language Agency.

Yixin Wan, Kai-Wei Chang

CoRR, 2024

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation.

Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang

CoRR, 2024

The Male CEO and the Female Assistant: Probing Gender Biases in Text-To-Image Models Through Paired Stereotype Test.

Yixin Wan, Kai-Wei Chang

CoRR, 2024

MACAROON: Training Vision-Language Models To Be Your Engaged Partners.

Shujin Wu, Yi Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention.

Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation.

Yixin Wan, Fanyou Wu, Weijie Xu, Srinivasan H. Sengamedu

CoRR, 2023

ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression.

Yixin Wan, Yuan Zhou, Xiulian Peng, Kai-Wei Chang, Yan Lu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems.

Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

"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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?

Alexander Kwako, Yixin Wan, Jieyu Zhao, Mark Hansen, Kai-Wei Chang, Li Cai

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation.

Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Improving the Adversarial Robustness of NLP Models by Information Bottleneck.

Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022