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Emily Sheng
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2020 – today
- 2024
- [i14]Hanna M. Wallach, Meera A. Desai, Nicholas Pangakis, A. Feder Cooper, Angelina Wang, Solon Barocas, Alexandra Chouldechova, Chad Atalla, Su Lin Blodgett, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs:
Evaluating Generative AI Systems is a Social Science Measurement Challenge. CoRR abs/2411.10939 (2024) - [i13]Emma Harvey, Emily Sheng, Su Lin Blodgett, Alexandra Chouldechova, Jean Garcia-Gathright, Alexandra Olteanu, Hanna M. Wallach:
Gaps Between Research and Practice When Measuring Representational Harms Caused by LLM-Based Systems. CoRR abs/2411.15662 (2024) - [i12]Alexandra Chouldechova, Chad Atalla, Solon Barocas, A. Feder Cooper, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Nicholas Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Matthew Vogel, Hannah Washington, Hanna M. Wallach:
A Shared Standard for Valid Measurement of Generative AI Systems' Capabilities, Risks, and Impacts. CoRR abs/2412.01934 (2024) - 2023
- [c8]Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach:
FairPrism: Evaluating Fairness-Related Harms in Text Generation. ACL (1) 2023: 6231-6251 - [i11]Ahmed Magooda
, Alec Helyar, Kyle Jackson, David Sullivan, Chad Atalla, Emily Sheng, Dan Vann, Richard Edgar, Hamid Palangi, Roman Lutz, Hongliang Kong, Vincent Yun, Eslam Kamal, Federico Zarfati, Hanna M. Wallach, Sarah Bird, Mei Chen:
A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications. CoRR abs/2310.17750 (2023) - 2022
- [c7]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 - [i10]Kyra Yee, Alice Schoenauer Sebag, Olivia Redfield, Emily Sheng, Matthias Eck, Luca Belli:
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter. CoRR abs/2210.06351 (2022) - 2021
- [c6]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
Societal Biases in Language Generation: Progress and Challenges. ACL/IJCNLP (1) 2021: 4275-4293 - [c5]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses. NAACL-HLT 2021: 750-767 - [i9]Emily Sheng, Josh Arnold, Zhou Yu, Kai-Wei Chang, Nanyun Peng:
Revealing Persona Biases in Dialogue Systems. CoRR abs/2104.08728 (2021) - [i8]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
Societal Biases in Language Generation: Progress and Challenges. CoRR abs/2105.04054 (2021) - [i7]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
- [c4]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
Towards Controllable Biases in Language Generation. EMNLP (Findings) 2020: 3239-3254 - [i6]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
Towards Controllable Biases in Language Generation. CoRR abs/2005.00268 (2020) - [i5]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
"Nice Try, Kiddo": Ad Hominems in Dialogue Systems. CoRR abs/2010.12820 (2020) - [i4]Emily Sheng, David C. Uthus:
Investigating Societal Biases in a Poetry Composition System. CoRR abs/2011.02686 (2020)
2010 – 2019
- 2019
- [c3]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
The Woman Worked as a Babysitter: On Biases in Language Generation. EMNLP/IJCNLP (1) 2019: 3405-3410 - [i3]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
The Woman Worked as a Babysitter: On Biases in Language Generation. CoRR abs/1909.01326 (2019) - 2018
- [i2]Emily Sheng, Prem Natarajan:
A Byte-sized Approach to Named Entity Recognition. CoRR abs/1809.08386 (2018) - 2017
- [c2]Emily Sheng, Prem Natarajan, Jonathan Gordon, Gully Burns:
An Investigation into the Pedagogical Features of Documents. BEA@EMNLP 2017: 109-120 - [c1]Jonathan Gordon, Stephen Aguilar, Emily Sheng, Gully Burns:
Structured Generation of Technical Reading Lists. BEA@EMNLP 2017: 261-270 - [i1]Emily Sheng, Prem Natarajan, Jonathan Gordon, Gully Burns:
An Investigation into the Pedagogical Features of Documents. CoRR abs/1708.00179 (2017)
Coauthor Index
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last updated on 2025-01-23 20:29 CET by the dblp team
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