Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Vicente Ordonez; Kai-Wei Chang (EMNLP, 2017)

Learning Gender-Neutral Word Embeddings. - Jieyu Zhao 001; Yichao Zhou 001; Zeyu Li 001; Wei Wang 010; Kai-Wei Chang (EMNLP, 2018)

Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Vicente Ordonez; Kai-Wei Chang (NAACL-HLT (2), 2018)

Adversarial Removal of Gender from Deep Image Representations. - Tianlu Wang; Jieyu Zhao 001; Mark Yatskar; Kai-Wei Chang; Vicente Ordonez (CoRR, 2018)

Mitigating Gender Bias in Natural Language Processing: Literature Review. - Tony Sun; Andrew Gaut; Shirlyn Tang; Yuxin Huang; Mai ElSherief; Jieyu Zhao 001; Diba Mirza; Elizabeth M. Belding; Kai-Wei Chang; William Yang Wang (ACL (1), 2019)

Examining Gender Bias in Languages with Grammatical Gender. - Pei Zhou; Weijia Shi; Jieyu Zhao 001; Kuan-Hao Huang; Muhao Chen 001; Ryan Cotterell; Kai-Wei Chang (EMNLP/IJCNLP (1), 2019)

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. - Tianlu Wang; Jieyu Zhao 001; Mark Yatskar; Kai-Wei Chang; Vicente Ordonez (ICCV, 2019)

Gender Bias in Contextualized Word Embeddings. - Jieyu Zhao 001; Tianlu Wang; Mark Yatskar; Ryan Cotterell; Vicente Ordonez; Kai-Wei Chang (NAACL-HLT (1), 2019)

Towards Understanding Gender Bias in Relation Extraction. - Andrew Gaut; Tony Sun; Shirlyn Tang; Yuxin Huang; Jing Qian; Mai ElSherief; Jieyu Zhao 001; Diba Mirza; Elizabeth M. Belding; Kai-Wei Chang; William Yang Wang (ACL, 2020)

Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. - Shengyu Jia; Tao Meng; Jieyu Zhao 001; Kai-Wei Chang (ACL, 2020)

Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. - Jieyu Zhao 001; Subhabrata Mukherjee; Saghar Hosseini; Kai-Wei Chang; Ahmed Hassan Awadallah (ACL, 2020)

"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. - Yichao Zhou 001; Jyun-Yu Jiang; Jieyu Zhao 001; Kai-Wei Chang; Wei Wang 010 (ACL, 2020)

LOGAN: Local Group Bias Detection by Clustering. - Jieyu Zhao 001; Kai-Wei Chang (EMNLP (1), 2020)

Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? - Jieyu Zhao 001; Daniel Khashabi; Tushar Khot; Ashish Sabharwal; Kai-Wei Chang (ACL/IJCNLP (Findings), 2021)

Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. - Chong Zhang; Jieyu Zhao 001; Huan Zhang 001; Kai-Wei Chang; Cho-Jui Hsieh (NAACL-HLT, 2021)

What do Bias Measures Measure? - Sunipa Dev; Emily Sheng; Jieyu Zhao 001; Jiao Sun; Yu Hou; Mattie Sanseverino; Jiin Kim; Nanyun Peng 001; Kai-Wei Chang (CoRR, 2021)

Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. - Jieyu Zhao 001; Xuezhi Wang 002; Yao Qin 001; Jilin Chen; Kai-Wei Chang (EMNLP (Findings), 2022)

On Measures of Biases and Harms in NLP. - Sunipa Dev; Emily Sheng; Jieyu Zhao 001; Aubrie Amstutz; Jiao Sun; Yu Hou; Mattie Sanseverino; Jiin Kim; Akihiro Nishi; Nanyun Peng 001; Kai-Wei Chang (AACL/IJCNLP (Findings), 2022)

DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation. - Jingnong Qu; Liunian Harold Li; Jieyu Zhao 001; Sunipa Dev; Kai-Wei Chang (CoRR, 2022)

Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN. - Anaelia Ovalle; Sunipa Dev; Jieyu Zhao 001; Majid Sarrafzadeh; Kai-Wei Chang (CoRR, 2022)

Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment? - Alexander Kwako; Yixin Wan; Jieyu Zhao 001; Mark Hansen; Kai-Wei Chang; Li Cai (BEA@ACL, 2023)

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. - Haozhe An; Zongxia Li; Jieyu Zhao 001; Rachel Rudinger (EACL, 2023)

A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation. - Sandra Sandoval; Jieyu Zhao 001; Marine Carpuat; Hal Daumé III (EMNLP, 2023)

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. - Yixin Wan; Jieyu Zhao 001; Aman Chadha; Nanyun Peng 001; Kai-Wei Chang (EMNLP (Findings), 2023)

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. - Ruijie Zheng; Xiyao Wang; Yanchao Sun; Shuang Ma; Jieyu Zhao 001; Huazhe Xu; Hal Daumé III; Furong Huang (NeurIPS, 2023)

Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. - Yuancheng Xu; Chenghao Deng; Yanchao Sun; Ruijie Zheng; Xiyao Wang; Jieyu Zhao 001; Furong Huang (CoRR, 2023)

SCORE: A framework for Self-Contradictory Reasoning Evaluation. - Ziyi Liu; Isabelle Lee; Yongkang Du; Soumya Sanyal 001; Jieyu Zhao 001 (CoRR, 2023)

Multilingual large language models leak human stereotypes across language boundaries. - Yang Trista Cao; Anna Sotnikova; Jieyu Zhao 001; Linda X. Zou; Rachel Rudinger; Hal Daumé III (CoRR, 2023)

Self-contradictory reasoning evaluation and detection. - Ziyi Liu; Soumya Sanyal 001; Isabelle Lee; Yongkang Du; Rahul Gupta; Yang Liu 084; Jieyu Zhao 001 (EMNLP (Findings), 2024)

InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context. - Ziyi Liu; Abhishek Anand; Pei Zhou; Jen-tse Huang 001; Jieyu Zhao 001 (EMNLP, 2024)

"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. - Huy Nghiem; John Prindle; Jieyu Zhao 001; Hal Daumé III (EMNLP, 2024)

Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective. - Zhaotian Weng; Zijun Gao; Jerone Theodore Alexander Andrews; Jieyu Zhao 001 (EMNLP, 2024)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (ICML, 2024)

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate. - Yuancheng Xu; Chenghao Deng; Yanchao Sun; Ruijie Zheng; Xiyao Wang; Jieyu Zhao 001; Furong Huang (ICML, 2024)

Fair Abstractive Summarization of Diverse Perspectives. - Yusen Zhang 001; Nan Zhang; Yixin Liu 003; Alexander R. Fabbri; Junru Liu; Ryo Kamoi; Xiaoxin Lu; Caiming Xiong; Jieyu Zhao 001; Dragomir Radev; Kathleen R. McKeown; Rui Zhang 037 (NAACL-HLT, 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)

Rethinking LLM-based Preference Evaluation. - Zhengyu Hu; Linxin Song; Jieyu Zhang 001; Zheyuan Xiao; Jingang Wang; Zhenyu Chen; Jieyu Zhao 001; Hui Xiong 001 (CoRR, 2024)

CLIMB: A Benchmark of Clinical Bias in Large Language Models. - Yubo Zhang; Shudi Hou; Mingyu Derek Ma; Wei Wang 010; Muhao Chen 001; Jieyu Zhao 001 (CoRR, 2024)

Does Differential Privacy Impact Bias in Pretrained NLP Models? - Md. Khairul Islam; Andrew Wang; Tianhao Wang; Yangfeng Ji; Judy Fox; Jieyu Zhao 001 (CoRR, 2024)

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration. - Sizhe Liu; Yizhou Lu; Siyu Chen; Xiyang Hu; Jieyu Zhao 001; Tianfan Fu; Yue Zhao 016 (CoRR, 2024)

Political-LLM: Large Language Models in Political Science. - Lincan Li; Jiaqi Li; Catherine Chen 003; Fred Gui; Hongjia Yang; Chenxiao Yu; Zhengguang Wang; Jianing Cai; Junlong Aaron Zhou; Bolin Shen; Alex Qian; Weixin Chen; et al. (CoRR, 2024)

Does Differential Privacy Impact Bias in Pretrained Language Models? - Md. Khairul Islam; Andrew Wang; Tianhao Wang; Yangfeng Ji; Judy Fox; Jieyu Zhao 001 (IEEE Data Eng. Bull., 2024)

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models. - Zixiang Xu; Yanbo Wang 005; Yue Huang 001; Xiuying Chen; Jieyu Zhao 001; Meng Jiang 001; Xiangliang Zhang 001 (ACL (1), 2025)

MUSE: Machine Unlearning Six-Way Evaluation for Language Models. - Weijia Shi; Jaechan Lee; Yangsibo Huang; Sadhika Malladi; Jieyu Zhao 001; Ari Holtzman; Daogao Liu; Luke Zettlemoyer; Noah A. Smith; Chiyuan Zhang (ICLR, 2025)

FairCode: Evaluating Social Bias of LLMs in Code Generation. - Yongkang Du; Jen-tse Huang 001; Jieyu Zhao 001; Lu Lin (CoRR, 2025)

VLMs as GeoGuessr Masters: Exceptional Performance, Hidden Biases, and Privacy Risks. - Jingyuan Huang; Jen-tse Huang 001; Ziyi Liu; Xiaoyuan Liu; Wenxuan Wang 001; Jieyu Zhao 001 (CoRR, 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models. - Jen-tse Huang 001; Jiantong Qin; Jianping Zhang 002; Youliang Yuan; Wenxuan Wang 001; Jieyu Zhao 001 (CoRR, 2025)

Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base. - Linxin Song; Xuwei Ding; Jieyu Zhang 001; Taiwei Shi; Ryotaro Shimizu; Rahul Gupta; Yang Liu 084; Jian Kang; Jieyu Zhao 001 (CoRR, 2025)

Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Metacognitive Cultural Intelligence with CQ-Bench. - Ziyi Liu; Priyanka Dey; Zhenyu Zhao; Jen-tse Huang 001; Rahul Gupta; Yang Liu 084; Jieyu Zhao 001 (CoRR, 2025)

BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents. - Haoxuan Li; Mingyu Derek Ma; Jen-tse Huang 001; Zhaotian Weng; Wei Wang 010; Jieyu Zhao 001 (CoRR, 2025)

Efficient Reinforcement Finetuning via Adaptive Curriculum Learning. - Taiwei Shi; Yiyang Wu; Linxin Song; Tianyi Zhou 001; Jieyu Zhao 001 (CoRR, 2025)

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models. - Zixiang Xu; Yanbo Wang 005; Yue Huang 001; Jiayi Ye; Haomin Zhuang; Zirui Song; Lang Gao; Chenxi Wang; Zhaorun Chen; Yujun Zhou 010; Sixian Li; Wang Pan; et al. (CoRR, 2025)

What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning. - Zhaotian Weng; Haoxuan Li; Kuan-Hao Huang; Jieyu Zhao 001 (CoRR, 2025)

Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment. - Priyanka Dey; Yugal Khanter; Aayush Bothra; Jieyu Zhao 001; Emilio Ferrara (CoRR, 2025)

CoAct-1: Computer-using Agents with Coding as Actions. - Linxin Song; Yutong Dai 002; Viraj Prabhu; Jieyu Zhang 001; Taiwei Shi; Li Li; Junnan Li 001; Silvio Savarese; Zeyuan Chen 001; Jieyu Zhao 001; Ran Xu 001; Caiming Xiong (CoRR, 2025)