Rohan Taori

According to our database, Rohan Taori authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Position Paper: Agent AI Towards a Holistic Intelligence.

Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Li Fei-Fei, Katsushi Ikeuchi, Jianfeng Gao

CoRR, 2024

An Interactive Agent Foundation Model.

Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang

CoRR, 2024

Agent AI: Surveying the Horizons of Multimodal Interaction.

Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Li Fei-Fei, Jianfeng Gao

CoRR, 2024

2023

Benchmarking Multi-Domain Active Learning on Image Classification.

Jiayi Li, Rohan Taori, Tatsunori B. Hashimoto

CoRR, 2023

VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.

Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt

CoRR, 2023

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.

Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto

CoRR, 2023

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.

Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models.

Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data Feedback Loops: Model-driven Amplification of Dataset Biases.

Rohan Taori, Tatsunori Hashimoto

Proceedings of the International Conference on Machine Learning, 2023

Is a Caption Worth a Thousand Images? A Study on Representation Learning.

Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning.

Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto

CoRR, 2022

2021

Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning.

Thomas Liao, Rohan Taori, Deborah Raji, Ludwig Schmidt

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization.

John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter.

Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro

CoRR, 2020

Measuring Robustness to Natural Distribution Shifts in Image Classification.

Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Autoregressive Models: What Are They Good For?

Murtaza Dalal, Alexander C. Li, Rohan Taori

CoRR, 2019

Targeted Adversarial Examples for Black Box Audio Systems.

Rohan Taori, Amog Kamsetty, Brenton Chu, Nikita Vemuri

Proceedings of the 2019 IEEE Security and Privacy Workshops, 2019