| The woman worked as a babysitter: On biases in language generation E Sheng, KW Chang, P Natarajan, N Peng arXiv preprint arXiv:1909.01326, 2019 | 640 | 2019 |
| Societal biases in language generation: Progress and challenges E Sheng, KW Chang, P Natarajan, N Peng arXiv preprint arXiv:2105.04054, 2021 | 214 | 2021 |
| Towards controllable biases in language generation E Sheng, KW Chang, P Natarajan, N Peng arXiv preprint arXiv:2005.00268, 2020 | 149 | 2020 |
| On Measurements of Bias and Fairness in NLP S Dev, E Sheng, J Zhao, A Amstutz, J Sun, Y Hou, M Sanseverino, J Kim, ... | 103* | 2022 |
| "Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses E Sheng, KW Chang, P Natarajan, N Peng arXiv preprint arXiv:2010.12820, 2020 | 59 | 2020 |
| Investigating societal biases in a poetry composition system E Sheng, D Uthus arXiv preprint arXiv:2011.02686, 2020 | 48 | 2020 |
| Revealing persona biases in dialogue systems E Sheng, J Arnold, Z Yu, KW Chang, N Peng arXiv preprint arXiv:2104.08728, 2021 | 36 | 2021 |
| Structured generation of technical reading lists J Gordon, S Aguilar, E Sheng, G Burns Proceedings of the 12th Workshop on Innovative Use of NLP for Building …, 2017 | 29 | 2017 |
| FairPrism: evaluating fairness-related harms in text generation E Fleisig, A Amstutz, C Atalla, SL Blodgett, H Daumé III, A Olteanu, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 24 | 2023 |
| NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding K Wang, R Stevens, H Alachram, Y Li, L Soldatova, R King, S Ananiadou, ... NPJ systems biology and applications 7 (1), 38, 2021 | 14 | 2021 |
| A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications A Magooda, A Helyar, K Jackson, D Sullivan, C Atalla, E Sheng, D Vann, ... arXiv preprint arXiv:2310.17750, 2023 | 10 | 2023 |
| A neural named entity recognition approach to biological entity identification E Sheng, S Miller, JS Ambite, P Natarajan Proceedings of the BioCreative VI Workshop, 24-27, 2017 | 7 | 2017 |
| A keyword based approach to understanding the overpenalization of marginalized groups by English marginal abuse models on Twitter K Yee, AS Sebag, O Redfield, E Sheng, M Eck, L Belli arXiv preprint arXiv:2210.06351, 2022 | 3 | 2022 |
| A byte-sized approach to named entity recognition E Sheng, P Natarajan arXiv preprint arXiv:1809.08386, 2018 | 3 | 2018 |
| An investigation into the pedagogical features of documents E Sheng, P Natarajan, J Gordon, G Burns arXiv preprint arXiv:1708.00179, 2017 | 3 | 2017 |
| Evaluating Generative AI Systems is a Social Science Measurement Challenge H Wallach, M Desai, N Pangakis, AF Cooper, A Wang, S Barocas, ... arXiv preprint arXiv:2411.10939, 2024 | 2 | 2024 |
| A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts A Chouldechova, C Atalla, S Barocas, AF Cooper, E Corvi, PA Dow, ... arXiv preprint arXiv:2412.01934, 2024 | 1 | 2024 |
| Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems E Harvey, E Sheng, SL Blodgett, A Chouldechova, J Garcia-Gathright, ... arXiv preprint arXiv:2411.15662, 2024 | | 2024 |
| AI Red Teaming through the Lens of Measurement Theory A Chouldechova, AF Cooper, A Palia, D Vann, C Atalla, H Washington, ... Neurips Safe Generative AI Workshop 2024, 0 | | |
| NERO: a biomedical Named Entity (Recognition) Ontology: Annotation Guidelines K Wang, R Stevens, H Alachram, Y Li, L Soldatova, R King, S Ananiadou, ... | | |
Kai-Wei ChangAssociate Professor, UCLABestätigte E-Mail-Adresse bei kwchang.net
