Cheng, Myra
Stanford University
9 papers on CoChatORCID 0000-0002-5052-2929
Most cited papers
- Verified
Taxonomy of Risks posed by Language Models
Weidinger, L., Uesato, J., Rauh, M., Griffin, C., Huang, P.-S., Mellor, J., Glaese, A., Cheng, M., Balle, B., Kasirzadeh, A., et al. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 764
- Verified
Ethical and social risks of harm from Language Models
Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., et al. (2021) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 477
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Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
Bianchi, F., Kalluri, P., Durmus, E., Ladhak, F., Cheng, M., Nozza, D., Hashimoto, T., Jurafsky, D., Zou, J., & Caliskan, A. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 342
- Verified
Sycophantic AI decreases prosocial intentions and promotes dependence
Cheng, M., Lee, C., Khadpe, P., Yu, S., Han, D., & Jurafsky, D. (2026) · Science
Ethics and Social Impacts of AISocial Robot Interaction and HRI
Cited by 185
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Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence
Cheng, M., Lee, C., Khadpe, P., Yu, S., Han, D., & Jurafsky, D. (2025) · arXiv
Ethics and Social Impacts of AISocial Robot Interaction and HRI
Cited by 17
- Verified
Characterizing Delusional Spirals through Human-LLM Chat Logs
Moore, J., Mehta, A., Agnew, W., Anthis, J. R., Louie, R., Mai, Y., Yin, P., Cheng, M., Paech, S. J., Klyman, K., et al. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency
Ethics and Social Impacts of AIDigital Mental Health Interventions
Cited by 15
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ELEPHANT: Measuring and understanding social sycophancy in LLMs
Cheng, M., Yu, S., Lee, C., Khadpe, P., Ibrahim, L., & Jurafsky, D. (2025) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 12
- Verified
Thinking beyond the anthropomorphic paradigm benefits LLM research
Ibrahim, L., & Cheng, M. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 4
- Verified
Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs
Cheng, M., Hawkins, R. D., & Jurafsky, D. (2026) · arXiv
Ethics and Social Impacts of AIMisinformation and Its Impacts
Cited by 0
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