Obserwuj
Jieyu Zhao
Jieyu Zhao
Assistant Professor at USC
Zweryfikowany adres z usc.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Men also like shopping: Reducing gender bias amplification using corpus-level constraints
J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang
EMNLP 2017, 2017
12502017
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang
NAACL 2018, 2018
10812018
Mitigating gender bias in natural language processing: Literature review
T Sun, A Gaut, S Tang, Y Huang, M ElSherief, J Zhao, D Mirza, E Belding, ...
arXiv preprint arXiv:1906.08976, 2019
7422019
Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations
T Wang, J Zhao, M Yatskar, KW Chang, V Ordonez
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
5442019
Learning Gender-Neutral Word Embeddings
J Zhao, Y Zhou, Z Li, W Wang, KW Chang
EMNLP 2018, 2018
5202018
Gender Bias in Contextualized Word Embeddings
J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang
NAACL 2019, https://arxiv.org/pdf/1904.03310.pdf, 2019
4852019
Trustllm: Trustworthiness in large language models
L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ...
arXiv preprint arXiv:2401.05561 3, 2024
2702024
Fairness-aware explainable recommendation over knowledge graphs
Z Fu, Y Xian, R Gao, J Zhao, Q Huang, Y Ge, S Xu, S Geng, C Shah, ...
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
2602020
Examining gender bias in languages with grammatical gender
P Zhou, W Shi, J Zhao, KH Huang, M Chen, R Cotterell, KW Chang
arXiv preprint arXiv:1909.02224, 2019
1282019
Gender bias in multilingual embeddings and cross-lingual transfer
J Zhao, S Mukherjee, S Hosseini, KW Chang, AH Awadallah
arXiv preprint arXiv:2005.00699, 2020
992020
On measures of biases and harms in NLP
S Dev, E Sheng, J Zhao, A Amstutz, J Sun, Y Hou, M Sanseverino, J Kim, ...
arXiv preprint arXiv:2108.03362, 2021
832021
Position: TrustLLM: Trustworthiness in large language models
Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ...
International Conference on Machine Learning, 20166-20270, 2024
712024
Towards understanding gender bias in relation extraction
A Gaut, T Sun, S Tang, Y Huang, J Qian, M ElSherief, J Zhao, D Mirza, ...
arXiv preprint arXiv:1911.03642, 2019
602019
Mitigating gender bias amplification in distribution by posterior regularization
S Jia, T Meng, J Zhao, KW Chang
arXiv preprint arXiv:2005.06251, 2020
512020
: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
R Zheng, X Wang, Y Sun, S Ma, J Zhao, H Xu, H Daumé III, F Huang
Advances in Neural Information Processing Systems 36, 48203-48225, 2023
442023
Muse: Machine unlearning six-way evaluation for language models
W Shi, J Lee, Y Huang, S Malladi, J Zhao, A Holtzman, D Liu, ...
arXiv preprint arXiv:2407.06460, 2024
422024
Ethical-advice taker: Do language models understand natural language interventions?
J Zhao, D Khashabi, T Khot, A Sabharwal, KW Chang
arXiv preprint arXiv:2106.01465, 2021
362021
SODAPOP: Open-ended discovery of social biases in social commonsense reasoning models
H An, Z Li, J Zhao, R Rudinger
arXiv preprint arXiv:2210.07269, 2022
252022
Are personalized stochastic parrots more dangerous? evaluating persona biases in dialogue systems
Y Wan, J Zhao, A Chadha, N Peng, KW Chang
arXiv preprint arXiv:2310.05280, 2023
232023
What do bias measures measure
S Dev, E Sheng, J Zhao, J Sun, Y Hou, M Sanseverino, J Kim, N Peng, ...
arXiv preprint arXiv:2108.03362, 2021
192021
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