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Jieyu Zhao 0001
赵洁玉
Person information
- affiliation: University of Southern California, CA, USA
- affiliation (former): University of Maryland, College Park, MD, USA
- unicode name: 赵洁玉
Other persons with the same name
- Jieyu Zhao — disambiguation page
- Jieyu Zhao 0002
— Ningbo University, Ningbo, China
- Jieyu Zhao 0003
- Jieyu Zhao 0004 — University of California, Los Angeles, CA, USA
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2020 – today
- 2026
- [c36]Priyanka Dey, Daniele Rosa, Wenqing Zheng, Daniel Barcklow, Jieyu Zhao, Emilio Ferrara:
GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences. EACL (Volume 1: Long Papers) 2026: 7416-7436 - [i55]Taiwei Shi, Sihao Chen, Bowen Jiang, Linxin Song, Longqi Yang, Jieyu Zhao:
Experiential Reinforcement Learning. CoRR abs/2602.13949 (2026) - [i54]Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao:
Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions. CoRR abs/2602.24176 (2026) - [i53]Linxin Song, Jieyu Zhang, Huanxin Sheng, Taiwei Shi, Gupta Rahul, Yang Liu, Ranjay Krishna, Jian Kang, Jieyu Zhao:
Video-Based Reward Modeling for Computer-Use Agents. CoRR abs/2603.10178 (2026) - [i52]Xuwei Ding, Skylar Zhai, Linxin Song, Jiate Li, Taiwei Shi, Nicholas Meade, Siva Reddy, Jian Kang, Jieyu Zhao:
The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use Agents. CoRR abs/2604.10577 (2026) - 2025
- [c35]Zixiang Xu, Yanbo Wang, Yue Huang, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang:
Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models. ACL (1) 2025: 8254-8284 - [c34]Morgan Klaus Scheuerman
Responsibly Training Foundation Models: Actualizing Ethical Principles for Curating Large-Scale Training Datasets in the Era of Massive AI Models. CSCW Companion 2025: 99-105 - [c33]Linxin Song, Taiwei Shi, Jieyu Zhao:
The Hallucination Tax of Reinforcement Finetuning. EMNLP (Findings) 2025: 2105-2120 - [c32]Jen-Tse Huang, Jiantong Qin, Jianping Zhang, Youliang Yuan, Wenxuan Wang, Jieyu Zhao:
VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models. EMNLP 2025: 17970-17993 - [c31]Jingyuan Huang, Jen-tse Huang, Ziyi Liu, Xiaoyuan Liu, Wenxuan Wang, Jieyu Zhao:
AI Sees Your Location - But With A Bias Toward The Wealthy World. EMNLP 2025: 18019-18039 - [c30]Priyanka Dey, Aayush Bothra, Yugal Khanter, Jieyu Zhao, Emilio Ferrara:
Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment. EMNLP (Findings) 2025: 20241-20262 - [c29]Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang:
MUSE: Machine Unlearning Six-Way Evaluation for Language Models. ICLR 2025 - [i51]Yongkang Du, Jen-tse Huang, Jieyu Zhao, Lu Lin:
FairCode: Evaluating Social Bias of LLMs in Code Generation. CoRR abs/2501.05396 (2025) - [i50]Jingyuan Huang, Jen-tse Huang, Ziyi Liu, Xiaoyuan Liu, Wenxuan Wang, Jieyu Zhao:
VLMs as GeoGuessr Masters: Exceptional Performance, Hidden Biases, and Privacy Risks. CoRR abs/2502.11163 (2025) - [i49]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025) - [i48]Jen-tse Huang, Jiantong Qin, Jianping Zhang, Youliang Yuan, Wenxuan Wang, Jieyu Zhao:
VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models. CoRR abs/2503.07575 (2025) - [i47]Linxin Song, Xuwei Ding, Jieyu Zhang, Taiwei Shi, Ryotaro Shimizu, Rahul Gupta, Yang Liu, Jian Kang, Jieyu Zhao:
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base. CoRR abs/2503.23361 (2025) - [i46]Ziyi Liu, Priyanka Dey, Zhenyu Zhao, Jen-tse Huang, Rahul Gupta, Yang Liu, Jieyu Zhao:
Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Metacognitive Cultural Intelligence with CQ-Bench. CoRR abs/2504.01127 (2025) - [i45]Haoxuan Li, Mingyu Derek Ma, Jen-tse Huang, Zhaotian Weng, Wei Wang, Jieyu Zhao:
BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents. CoRR abs/2504.04855 (2025) - [i44]Taiwei Shi, Yiyang Wu, Linxin Song, Tianyi Zhou
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning. CoRR abs/2504.05520 (2025) - [i43]Zixiang Xu, Yanbo Wang, Yue Huang, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang:
Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models. CoRR abs/2505.18673 (2025) - [i42]Zixiang Xu, Yanbo Wang, Yue Huang, Jiayi Ye, Haomin Zhuang, Zirui Song
SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models. CoRR abs/2505.23713 (2025) - [i41]Zhaotian Weng, Haoxuan Li, Kuan-Hao Huang, Jieyu Zhao:
What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning. CoRR abs/2506.00869 (2025) - [i40]Priyanka Dey, Yugal Khanter, Aayush Bothra, Jieyu Zhao, Emilio Ferrara
Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment. CoRR abs/2506.05670 (2025) - [i39]Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong:
CoAct-1: Computer-using Agents with Coding as Actions. CoRR abs/2508.03923 (2025) - [i38]Priyanka Dey, Daniele Rosa, Wenqing Zheng, Daniel Barcklow, Jieyu Zhao, Emilio Ferrara
GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences. CoRR abs/2510.11952 (2025) - [i37]Ziyi Liu, Bahareh Sarrafzadeh, Pei Zhou, Longqi Yang, Jieyu Zhao, Ashish Sharma:
ProMediate: A Socio-cognitive framework for evaluating proactive agents in multi-party negotiation. CoRR abs/2510.25224 (2025) - [i36]Haoyan Xu, Ruizhi Qian, Zhengtao Yao, Ziyi Liu, Li Li, Yuqi Li, Yanshu Li, Wenqing Zheng, Daniele Rosa, Daniel Barcklow, Senthil Kumar, Jieyu Zhao, Yue Zhao:
LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning. CoRR abs/2511.17584 (2025) - 2024
- [j1]Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao:
Does Differential Privacy Impact Bias in Pretrained Language Models? IEEE Data Eng. Bull. 48(2): 125-137 (2024) - [c28]Ziyi Liu, Soumya Sanyal, Isabelle Lee, Yongkang Du, Rahul Gupta, Yang Liu, Jieyu Zhao
Self-contradictory reasoning evaluation and detection. EMNLP (Findings) 2024: 3725-3742 - [c27]Ziyi Liu, Abhishek Anand, Pei Zhou, Jen-tse Huang, Jieyu Zhao
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context. EMNLP 2024: 6718-6746 - [c26]Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III:
"You Gotta be a Doctor, Lin" : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. EMNLP 2024: 7268-7287 - [c25]Zhaotian Weng, Zijun Gao, Jerone Theodore Alexander Andrews, Jieyu Zhao
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective. EMNLP 2024: 15669-15680 - [c24]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024: 20166-20270 - [c23]Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang:
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate. ICML 2024: 54962-54982 - [c22]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT 2024: 3404-3426 - [i35]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i34]Ziyi Liu, Abhishek Anand, Pei Zhou, Jen-tse Huang, Jieyu Zhao:
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context. CoRR abs/2406.12203 (2024) - [i33]Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III:
"You Gotta be a Doctor, Lin": An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations. CoRR abs/2406.12232 (2024) - [i32]Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Jingang Wang, Zhenyu Chen, Jieyu Zhao, Hui Xiong:
Rethinking LLM-based Preference Evaluation. CoRR abs/2407.01085 (2024) - [i31]Zhaotian Weng, Zijun Gao, Jerone T. A. Andrews, Jieyu Zhao:
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective. CoRR abs/2407.02814 (2024) - [i30]Yubo Zhang, Shudi Hou, Mingyu Derek Ma, Wei Wang, Muhao Chen, Jieyu Zhao:
CLIMB: A Benchmark of Clinical Bias in Large Language Models. CoRR abs/2407.05250 (2024) - [i29]Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang:
MUSE: Machine Unlearning Six-Way Evaluation for Language Models. CoRR abs/2407.06460 (2024) - [i28]Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao:
Does Differential Privacy Impact Bias in Pretrained NLP Models? CoRR abs/2410.18749 (2024) - [i27]Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Jieyu Zhao, Tianfan Fu, Yue Zhao:
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration. CoRR abs/2411.15692 (2024) - [i26]Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou
Political-LLM: Large Language Models in Political Science. CoRR abs/2412.06864 (2024) - 2023
- [c21]Alexander Kwako, Yixin Wan, Jieyu Zhao, Mark Hansen, Kai-Wei Chang, Li Cai:
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment? BEA@ACL 2023: 668-681 - [c20]Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. EACL 2023: 1565-1588 - [c19]Sandra Sandoval, Jieyu Zhao, Marine Carpuat, Hal Daumé III:
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation. EMNLP 2023: 3933-3945 - [c18]Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang:
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. EMNLP (Findings) 2023: 9677-9705 - [c17]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. NeurIPS 2023 - [i25]Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang:
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. CoRR abs/2306.13229 (2023) - [i24]Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang:
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. CoRR abs/2309.03426 (2023) - [i23]Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang:
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. CoRR abs/2310.05280 (2023) - [i22]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi
Fair Abstractive Summarization of Diverse Perspectives. CoRR abs/2311.07884 (2023) - [i21]Ziyi Liu, Isabelle Lee, Yongkang Du, Soumya Sanyal, Jieyu Zhao:
SCORE: A framework for Self-Contradictory Reasoning Evaluation. CoRR abs/2311.09603 (2023) - [i20]Yang Trista Cao, Anna Sotnikova, Jieyu Zhao, Linda X. Zou, Rachel Rudinger
Multilingual large language models leak human stereotypes across language boundaries. CoRR abs/2312.07141 (2023) - 2022
- [c16]Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang:
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. EMNLP (Findings) 2022: 1634-1640 - [c15]Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
On Measures of Biases and Harms in NLP. AACL/IJCNLP (Findings) 2022: 246-267 - [i19]Jingnong Qu, Liunian Harold Li, Jieyu Zhao, Sunipa Dev, Kai-Wei Chang:
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation. CoRR abs/2205.12617 (2022) - [i18]Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger:
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. CoRR abs/2210.07269 (2022) - [i17]Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang:
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. CoRR abs/2210.16298 (2022) - [i16]Anaelia Ovalle, Sunipa Dev, Jieyu Zhao, Majid Sarrafzadeh, Kai-Wei Chang:
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN. CoRR abs/2211.08742 (2022) - 2021
- [c14]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL/IJCNLP (Findings) 2021: 4158-4164 - [c13]Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. NAACL-HLT 2021: 3899-3916 - [i15]Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. CoRR abs/2104.05232 (2021) - [i14]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? CoRR abs/2106.01465 (2021) - [i13]Sunipa Dev, Emily Sheng, Jieyu Zhao, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Nanyun Peng, Kai-Wei Chang:
What do Bias Measures Measure? CoRR abs/2108.03362 (2021) - 2020
- [c12]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. ACL 2020: 813-822 - [c11]Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. ACL 2020: 2896-2907 - [c10]Shengyu Jia
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. ACL 2020: 2936-2942 - [c9]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. ACL 2020: 2943-2953 - [c8]Jieyu Zhao, Kai-Wei Chang:
LOGAN: Local Group Bias Detection by Clustering. EMNLP (1) 2020: 1968-1977 - [i12]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. CoRR abs/2004.14457 (2020) - [i11]Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. CoRR abs/2005.00699 (2020) - [i10]Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang:
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. CoRR abs/2005.06251 (2020) - [i9]Jieyu Zhao, Kai-Wei Chang:
LOGAN: Local Group Bias Detection by Clustering. CoRR abs/2010.02867 (2020)
2010 – 2019
- 2019
- [c7]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. ACL (1) 2019: 1630-1640 - [c6]Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang
Examining Gender Bias in Languages with Grammatical Gender. EMNLP/IJCNLP (1) 2019: 5275-5283 - [c5]Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. ICCV 2019: 5309-5318 - [c4]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. NAACL-HLT (1) 2019: 629-634 - [i8]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Contextualized Word Embeddings. CoRR abs/1904.03310 (2019) - [i7]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. CoRR abs/1906.08976 (2019) - [i6]Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang:
Examining Gender Bias in Languages with Grammatical Gender. CoRR abs/1909.02224 (2019) - [i5]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. CoRR abs/1911.03642 (2019) - 2018
- [c3]Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang:
Learning Gender-Neutral Word Embeddings. EMNLP 2018: 4847-4853 - [c2]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. NAACL-HLT (2) 2018: 15-20 - [i4]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. CoRR abs/1804.06876 (2018) - [i3]Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang:
Learning Gender-Neutral Word Embeddings. CoRR abs/1809.01496 (2018) - [i2]Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez:
Adversarial Removal of Gender from Deep Image Representations. CoRR abs/1811.08489 (2018) - 2017
- [c1]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. EMNLP 2017: 2979-2989 - [i1]Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang:
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. CoRR abs/1707.09457 (2017)
Coauthor Index
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last updated on 2026-05-10 00:55 CEST by the dblp team
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