Myra Cheng

According to our database, Myra Cheng authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

"I Am the One and Only, Your Cyber BFF": Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI.

Myra Cheng, Alicia DeVrio, Lisa Egede, Su Lin Blodgett, Alexandra Olteanu

CoRR, 2024

NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps.

Kristina Gligoric, Myra Cheng, Lucia Zheng, Esin Durmus, Dan Jurafsky

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AnthroScore: A Computational Linguistic Measure of Anthropomorphism.

Myra Cheng, Kristina Gligoric, Tiziano Piccardi, Dan Jurafsky

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Social norm bias: residual harms of fairness-aware algorithms.

Myra Cheng, Maria De-Arteaga, Lester Mackey, Adam Tauman Kalai

Data Min. Knowl. Discov., September, 2023

The Surveillance AI Pipeline.

Pratyusha Ria Kalluri, William Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, Abeba Birhane

CoRR, 2023

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale.

Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations.

Myra Cheng, Tiziano Piccardi, Diyi Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models.

Myra Cheng, Esin Durmus, Dan Jurafsky

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Taxonomy of Risks posed by Language Models.

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

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Ethical and social risks of harm from Language Models.

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

CoRR, 2021

2020

Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits.

Maegan Tucker, Myra Cheng, Ellen R. Novoseller, Richard Cheng, Yisong Yue, Joel W. Burdick, Aaron D. Ames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018

A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRI.

Myra Cheng, Alfiia Galimzianova, Ziga Lesjak, Ziga Spiclin, Christopher B. Lock, Daniel L. Rubin

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018