Guha, Neel

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

Holistic Evaluation of Language Models

Liang, P., Bommasani, R., Lee, T., Tsipras, D., Soylu, D., Yasunaga, M., Zhang, Y., Narayanan, D., Wu, Y., Kumar, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 255

Understanding Liability Risk from Using Health Care Artificial Intelligence Tools

Mello, M. M., & Guha, N. (2024) · New England Journal of Medicine

Medical Malpractice and Liability IssuesArtificial Intelligence in Healthcare and Education

Cited by 155

Legalbench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Guha, N., Nyarko, J., Ho, D. E., Ré, C., Chilton, A., Narayana, A., Chohlas-Wood, A., Peters, A., Waldon, B., Rockmore, D., et al. (2023) · SSRN Electronic Journal

Artificial Intelligence in LawTopic Modeling

Cited by 154

ChatGPT and Physicians’ Malpractice Risk

Mello, M. M., & Guha, N. (2023) · JAMA Health Forum

Artificial Intelligence in Healthcare and EducationMedical Malpractice and Liability Issues

Cited by 80

Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Henderson, P., Krass, M., Zheng, L., Guha, N., Manning, C. D., Jurafsky, D., & Ho, D. (2022) · Advances in Neural Information Processing Systems 35

Artificial Intelligence in LawEthics and Social Impacts of AI

Cited by 62

Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

Henderson, P., Krass, M. S., Zheng, L., Guha, N., Manning, C. D., Jurafsky, D., & Ho, D. E. (2022) · arXiv

Artificial Intelligence in LawEthics and Social Impacts of AI

Cited by 49

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

Guha, N., Nyarko, J., Ho, D. E., Ré, C., Chilton, A., Narayana, A., Chohlas-Wood, A., Peters, A., Waldon, B., Rockmore, D. N., et al. (2023) · arXiv

Artificial Intelligence in LawTopic Modeling

Cited by 30

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy

Coston, A., Guha, N., Ouyang, D., Lu, L., Chouldechova, A., & Ho, D. E. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Human Mobility and Location-Based AnalysisEthics and Social Impacts of AI

Cited by 21

Archon: An Architecture Search Framework for Inference-Time Techniques

Saad-Falcon, J., Lafuente, A. G., Natarajan, S., Maru, N., Todorov, H., Guha, E., Buchanan, E. K., Chen, M., Guha, N., Ré, C., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Cartridges: Lightweight and general-purpose long context representations via self-study

Eyuboglu, S., Ehrlich, R., Arora, S., Guha, N., Zinsley, D., Liu, E., Tennien, W., Rudra, A., Zou, J., Mirhoseini, A., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0