TrustLLM: Trustworthiness in Large Language Models
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, ... , Jieyu Zhao, ..., Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao. ICML 2024.
A dynamic approach to long-term fairness in sequential decision-making
Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang. ICML 2024.
Fair Abstractive Summarization of Diverse Perspectives
Yusen Zhang, Nan Zhang, Yixin Liu, Alexander Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen McKeown, Rui Zhang. NAACL 2024.
Safer-Instruct: Aligning Language Models with Automated Preference Data
Taiwei Shi, Kai Chen, Jieyu Zhao. NAACL 2024. SeT-LLM 2024.
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Name Mistranslations
Sandra Sandoval, Jieyu Zhao, Marine Carpuat, and Hal Daume III. EMNLP 2023.
Mind What You Measure For: A Study on Reliability of Prompt-Based Bias Measurement
Ruyuan Zuo, and Jieyu Zhao. WiNLP 2023.
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daume, Furong Huang. NeurIPS, 2023.
[website][code]
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models
Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger. EACL 2023.
[code][poster][video]
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers
Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang. EMNLP Findings, 2022.
On Measures of Biases and Harms in NLP
Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, and Kai-Wei Chang. AACL, 2022.
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, and Kai-Wei Chang.
ACL Findings, 2021.
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, and Cho-Jui Hsieh. NAACL 2021.
LOGAN: Local Group Bias Detection by Clustering
Jieyu Zhao and Kai-Wei Chang. EMNLP 2020.
Fairness-Aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu*, Yikun Xian*, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng,
Chirag Shah, Yongfeng Zhang, Gerard de Melo. SIGIR 2020.
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah.
Conference of the Association for Computational Linguistics. ACL 2020.
Shengyu Jia*, Tao Meng*, Jieyu Zhao, Kai-Wei Chang.
Conference of the Association for Computational Linguistics. ACL 2020.
Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang
Conference of the Association for Computational Linguistics. ACL 2020.
Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang
Conference of the Association for Computational Linguistics. ACL 2020.
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang.
Conference on Empirical Methods in Natural Language Processing. EMNLP 2019.
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez.
International Conference on Computer Vision. ICCV 2019.
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang.
Association for Computational Linguistics. ACL 2019.
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang.
North American Chapter of the Association for Computational Linguistics. NAACL 2019.
Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang
Conference on Empirical Methods in Natural Language Processing. EMNLP 2018.
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang.
North American Chapter of the Association for Computational Linguistics. NAACL 2018.
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang.
Conference on Empirical Methods in Natural Language Processing. EMNLP 2017. (Best Long Paper Award)
Press: Wired: Machines Taught By Photos Learn a Sexist View of Women
Jieyu Zhao, Jianxin Li, Baojian Zhou, Feng Chen, Paul Tomchik, Wuyang Ju.
Concurrency and Computation: Practice and Experience. 2016.
Jianxin Li, Jieyu Zhao, Yi Li, Lei Cui, Bo Li, Lu Liu, John Panneerselvam.
The Computer Journal. 2015.
Bin Shi, Bo Li, Lei Cui, Jieyu Zhao, Jianxin Li.
High Performance Computing and Communications. 2014.