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Yada Pruksachatkun
Yada Pruksachatkun
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Cited by
Cited by
Year
Superglue: A stickier benchmark for general-purpose language understanding systems
A Wang, Y Pruksachatkun, N Nangia, A Singh, J Michael, F Hill, O Levy, ...
Advances in neural information processing systems 32, 2019
8832019
Intermediate-task transfer learning with pretrained models for natural language understanding: When and why does it work?
Y Pruksachatkun, J Phang, H Liu, PM Htut, X Zhang, RY Pang, C Vania, ...
arXiv preprint arXiv:2005.00628, 2020
1332020
English intermediate-task training improves zero-shot cross-lingual transfer too
J Phang, I Calixto, PM Htut, Y Pruksachatkun, H Liu, C Vania, K Kann, ...
arXiv preprint arXiv:2005.13013, 2020
502020
jiant 1.2: A software toolkit for research on general-purpose text understanding models
A Wang, IF Tenney, Y Pruksachatkun, K Yu, J Hula, P Xia, R Pappagari, ...
Note: http://jiant. info/Cited by: footnote 4, 2019
382019
Bold: Dataset and metrics for measuring biases in open-ended language generation
J Dhamala, T Sun, V Kumar, S Krishna, Y Pruksachatkun, KW Chang, ...
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
372021
Moments of change: Analyzing peer-based cognitive support in online mental health forums
Y Pruksachatkun, SR Pendse, A Sharma
Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019
342019
jiant: A software toolkit for research on general-purpose text understanding models
Y Pruksachatkun, P Yeres, H Liu, J Phang, PM Htut, A Wang, I Tenney, ...
arXiv preprint arXiv:2003.02249, 2020
272020
Manipulation of search engine results during the 2016 US congressional elections
PT Metaxas, Y Pruksachatkun
202017
Does robustness improve fairness? approaching fairness with word substitution robustness methods for text classification
Y Pruksachatkun, S Krishna, J Dhamala, R Gupta, KW Chang
arXiv preprint arXiv:2106.10826, 2021
102021
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
J Mullenbach, Y Pruksachatkun, S Adler, J Seale, J Swartz, TG McKelvey, ...
arXiv preprint arXiv:2106.02524, 2021
52021
On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations
YT Cao, Y Pruksachatkun, KW Chang, R Gupta, V Kumar, J Dhamala, ...
arXiv preprint arXiv:2203.13928, 2022
42022
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
U Gupta, J Dhamala, V Kumar, A Verma, Y Pruksachatkun, S Krishna, ...
arXiv preprint arXiv:2203.12574, 2022
12022
Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022)
A Verma, Y Pruksachatkun, KW Chang, A Galstyan, J Dhamala, YT Cao
Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing …, 2022
2022
Measuring Fairness of Text Classifiers via Prediction Sensitivity
S Krishna, R Gupta, A Verma, J Dhamala, Y Pruksachatkun, KW Chang
arXiv preprint arXiv:2203.08670, 2022
2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
Y Trista Cao, Y Pruksachatkun, KW Chang, R Gupta, V Kumar, J Dhamala, ...
arXiv e-prints, arXiv: 2203.13928, 2022
2022
Extracting clinical follow-ups from discharge summaries
Y Pruksachatkun, S Adler, TG McKelvey, JL Swartz, H Dai, Y Yang, ...
US Patent App. 17/221,485, 2021
2021
Proceedings of the First Workshop on Trustworthy Natural Language Processing
Y Pruksachatkun, A Ramakrishna, KW Chang, S Krishna, J Dhamala, ...
Proceedings of the First Workshop on Trustworthy Natural Language Processing, 2021
2021
Moment of change: Predicting Cognitive Restructuring in Online Mental Health Forums
Y Pruksachatkun, S Pendse, A Sharma
2018
Using AI to Enhance Peer-to-Peer Moderation in Mental Health Forums
Y Pruksachatkun, S Pendse, A Sharma
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Articles 1–19