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Rishi Bommasani
Rishi Bommasani
Bestätigte E-Mail-Adresse bei stanford.edu - Startseite
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Zitiert von
Zitiert von
Jahr
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
29082021
Emergent abilities of large language models
J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ...
arXiv preprint arXiv:2206.07682, 2022
1780*2022
Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
11442023
Holistic evaluation of language models
P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ...
arXiv preprint arXiv:2211.09110, 2022
6342022
Interpreting pretrained contextualized representations via reductions to static embeddings
R Bommasani, K Davis, C Cardie
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
1662020
On the opportunities and risks of foundation models (2021)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2022
86*2022
Intrinsic evaluation of summarization datasets
R Bommasani, C Cardie
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
612020
Evaluating human-language model interaction
M Lee, M Srivastava, A Hardy, J Thickstun, E Durmus, A Paranjape, ...
arXiv preprint arXiv:2212.09746, 2022
602022
Data governance in the age of large-scale data-driven language technology
Y Jernite, H Nguyen, S Biderman, A Rogers, M Masoud, V Danchev, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
482022
Picking on the same person: Does algorithmic monoculture lead to outcome homogenization?
R Bommasani, KA Creel, A Kumar, D Jurafsky, PS Liang
Advances in Neural Information Processing Systems 35, 3663-3678, 2022
462022
On the opportunities and risks of foundation models (arXiv: 2108.07258). arXiv
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
422022
The foundation model transparency index
R Bommasani, K Klyman, S Longpre, S Kapoor, N Maslej, B Xiong, ...
arXiv preprint arXiv:2310.12941, 2023
24*2023
Do foundation model providers comply with the eu ai act
R Bommasani, K Klyman, D Zhang, P Liang
Stanford Center for Research on Foundation Models, Institute for Human …, 2023
202023
The time is now to develop community norms for the release of foundation models
P Liang, R Bommasani, K Creel, R Reich
Protocol, 2022
20*2022
Reflections on foundation models
R Bommasani, P Liang
Stanford Institute for Human-Centered AI, 2021
19*2021
Ecosystem graphs: The social footprint of foundation models
R Bommasani, D Soylu, TI Liao, KA Creel, P Liang
arXiv preprint arXiv:2303.15772, 2023
12*2023
Towards Private Synthetic Text Generation
R Bommasani, ZS Wu, A Schofield
2019 NeurIPS Workshop: Machine Learning with Guarantees, 2019
12*2019
Ai regulation has its own alignment problem: The technical and institutional feasibility of disclosure, registration, licensing, and auditing
N Guha, C Lawrence, LA Gailmard, K Rodolfa, F Surani, R Bommasani, ...
George Washington Law Review, Forthcoming, 2023
102023
Cheaply estimating inference efficiency metrics for autoregressive transformer models
D Narayanan, K Santhanam, P Henderson, R Bommasani, T Lee, ...
Advances in Neural Information Processing Systems 36, 2024
9*2024
Foundation models in healthcare: Opportunities, risks & strategies forward
A Thieme, A Nori, M Ghassemi, R Bommasani, TO Andersen, E Luger
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023
72023
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