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2020 – today
- 2025
[i11]Myra Cheng, Angela Y. Lee, Kristina Rapuano, Kate Niederhoffer, Alex Liebscher, Jeffrey T. Hancock:
From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors. CoRR abs/2501.18045 (2025)- 2024
- [c8]Myra Cheng, Kristina Gligoric, Tiziano Piccardi, Dan Jurafsky:
AnthroScore: A Computational Linguistic Measure of Anthropomorphism. EACL (1) 2024: 807-825 - [c7]Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky:
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. NAACL-HLT 2024: 5942-5959 - [i10]Myra Cheng, Kristina Gligoric, Tiziano Piccardi, Dan Jurafsky:
AnthroScore: A Computational Linguistic Measure of Anthropomorphism. CoRR abs/2402.02056 (2024) - [i9]Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky:
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps. CoRR abs/2404.01651 (2024) - [i8]Myra Cheng, Alicia DeVrio, Lisa Egede, Su Lin Blodgett, Alexandra Olteanu:
"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI. CoRR abs/2410.08526 (2024) - 2023
- [j1]Myra Cheng
, Maria De-Arteaga, Lester Mackey, Adam Tauman Kalai:
Social norm bias: residual harms of fairness-aware algorithms. Data Min. Knowl. Discov. 37(5): 1858-1884 (2023) - [c6]Myra Cheng, Esin Durmus, Dan Jurafsky:
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. ACL (1) 2023: 1504-1532 - [c5]Myra Cheng, Tiziano Piccardi, Diyi Yang:
CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations. EMNLP 2023: 10853-10875 - [c4]Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan:
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT 2023: 1493-1504 - [i7]Myra Cheng, Esin Durmus, Dan Jurafsky:
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models. CoRR abs/2305.18189 (2023) - [i6]Pratyusha Ria Kalluri, William Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, Abeba Birhane:
The Surveillance AI Pipeline. CoRR abs/2309.15084 (2023) - [i5]Myra Cheng, Tiziano Piccardi, Diyi Yang:
CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations. CoRR abs/2310.11501 (2023) - 2022
- [c3]Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel:
Taxonomy of Risks posed by Language Models. FAccT 2022: 214-229 - [i4]Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan:
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR abs/2211.03759 (2022) - 2021
- [i3]Myra Cheng, Maria De-Arteaga, Lester Mackey, Adam Tauman Kalai:
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms. CoRR abs/2108.11056 (2021) - [i2]Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel:
Ethical and social risks of harm from Language Models. CoRR abs/2112.04359 (2021) - 2020
- [c2]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. IROS 2020: 3423-3430 - [i1]Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames:
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits. CoRR abs/2003.06495 (2020)
2010 – 2019
- 2018
- [c1]Myra Cheng, Alfiia Galimzianova, Ziga Lesjak, Ziga Spiclin, Christopher B. Lock, Daniel L. Rubin:
A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI. DLMIA/ML-CDS@MICCAI 2018: 353-360
Coauthor Index
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