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 | 2267 | 2019 |
Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1560 | 2023 |
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 | 308 | 2021 |
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 | 298 | 2020 |
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 | 82 | 2022 |
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 | 70 | 2020 |
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 | 68 | 2019 |
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 | 53 | 2019 |
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 | 41 | 2022 |
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 | 39 | 2020 |
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 | 32 | 2021 |
Manipulation of search engine results during the 2016 US congressional elections PT Metaxas, Y Pruksachatkun Proceedings of the ICIW 2017 6, 2017 | 30 | 2017 |
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 | 18 | 2021 |
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 | 8 | 2022 |
Practicing trustworthy machine learning Y Pruksachatkun, M Mcateer, S Majumdar " O'Reilly Media, Inc.", 2023 | 3 | 2023 |
Extracting clinical follow-ups from discharge summaries Y Pruksachatkun, S Adler, TG McKelvey, JL Swartz, H Dai, Y Yang, ... US Patent 11,861,314, 2024 | 2 | 2024 |
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction J White, A Raghuvanshi, Y Pruksachatkun arXiv preprint arXiv:2306.03959, 2023 | 1 | 2023 |
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 | 1 | 2021 |
Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023) A Ovalle, KW Chang, N Mehrabi, Y Pruksachatkun, A Galystan, ... Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing …, 2023 | | 2023 |
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 |