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Conference and Workshop Papers
- 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- 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 - 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 - 2020
- [c4]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
Towards Controllable Biases in Language Generation. EMNLP (Findings) 2020: 3239-3254 - 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 - 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
Informal and Other Publications
- 2023
- [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
- [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
- [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
- [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) - 2019
- [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
- [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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