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Rohan Taori
Rohan Taori
CS PhD @ Stanford
Verified email at stanford.edu - Homepage
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Cited by
Cited by
Year
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
23792021
Stanford alpaca: An instruction-following llama model
R Taori, I Gulrajani, T Zhang, Y Dubois, X Li, C Guestrin, P Liang, ...
1262*2023
Measuring Robustness to Natural Distribution Shifts in Image Classification
R Taori, A Dave, V Shankar, N Carlini, B Recht, L Schmidt
Advances in Neural Information Processing Systems 33, 2020
4752020
Openclip, July 2021
G Ilharco, M Wortsman, R Wightman, C Gordon, N Carlini, R Taori, ...
If you use this software, please cite it as below 2 (4), 5, 0
251*
Accuracy on the line: on the strong correlation between out-of-distribution and in-distribution generalization
JP Miller, R Taori, A Raghunathan, S Sagawa, PW Koh, V Shankar, ...
International Conference on Machine Learning, 7721-7735, 2021
2122021
Targeted adversarial examples for black box audio systems
R Taori, A Kamsetty, B Chu, N Vemuri
2019 IEEE security and privacy workshops (SPW), 15-20, 2019
198*2019
Alpacaeval: An automatic evaluator of instruction-following models
X Li, T Zhang, Y Dubois, R Taori, I Gulrajani, C Guestrin, P Liang, ...
1202023
Alpacafarm: A simulation framework for methods that learn from human feedback
Y Dubois, CX Li, R Taori, T Zhang, I Gulrajani, J Ba, C Guestrin, PS Liang, ...
Advances in Neural Information Processing Systems 36, 2024
1182024
Are we learning yet? a meta review of evaluation failures across machine learning
T Liao, R Taori, ID Raji, L Schmidt
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
762021
Is a caption worth a thousand images? a controlled study for representation learning
S Santurkar, Y Dubois, R Taori, P Liang, T Hashimoto
arXiv preprint arXiv:2207.07635, 2022
43*2022
Transposer: Universal texture synthesis using feature maps as transposed convolution filter
G Liu, R Taori, TC Wang, Z Yu, S Liu, FA Reda, K Sapra, A Tao, ...
arXiv preprint arXiv:2007.07243, 2020
202020
Visit-bench: A benchmark for vision-language instruction following inspired by real-world use
Y Bitton, H Bansal, J Hessel, R Shao, W Zhu, A Awadalla, J Gardner, ...
arXiv preprint arXiv:2308.06595, 2023
182023
Data feedback loops: Model-driven amplification of dataset biases
R Taori, T Hashimoto
International Conference on Machine Learning, 33883-33920, 2023
122023
Autoregressive models: What are they good for?
M Dalal, AC Li, R Taori
arXiv preprint arXiv:1910.07737, 2019
92019
Agent ai: Surveying the horizons of multimodal interaction
Z Durante, Q Huang, N Wake, R Gong, JS Park, B Sarkar, R Taori, Y Noda, ...
arXiv preprint arXiv:2401.03568, 2024
62024
An Interactive Agent Foundation Model
Z Durante, B Sarkar, R Gong, R Taori, Y Noda, P Tang, E Adeli, ...
arXiv preprint arXiv:2402.05929, 2024
12024
Benchmarking Multi-Domain Active Learning on Image Classification
J Li, R Taori, TB Hashimoto
arXiv preprint arXiv:2312.00364, 2023
2023
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