Rohan Taori - RankMe

22 papers A* 6Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An Interactive Agent Foundation Model. CVPR Workshops Zane Durante, Ran Gong, Bidipta Sarkar, Naoki Wake, Rohan Taori, Paul Tang, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Hoi Vo, Ehsan Adeli, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao
2024	J	`jnl`	Agent AI: Surveying the Horizons of Multimodal Interaction. CoRR 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
2024	J	`jnl`	An Interactive Agent Foundation Model. CoRR 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
2024	J	`jnl`	Position Paper: Agent AI Towards a Holistic Intelligence. CoRR 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
2023	A*	`conf`	AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. NeurIPS Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
2023	J	`jnl`	AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. CoRR Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto
2023	J	`jnl`	Benchmarking Multi-Domain Active Learning on Image Classification. CoRR Jiayi Li, Rohan Taori, Tatsunori B. Hashimoto
2023	A*	`conf`	Data Feedback Loops: Model-driven Amplification of Dataset Biases. ICML Rohan Taori, Tatsunori Hashimoto
2023	A*	`conf`	Is a Caption Worth a Thousand Images? A Study on Representation Learning. ICLR Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
2023	J	`jnl`	VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use. CoRR Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
2023	A*	`conf`	VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models. NeurIPS Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
2022	J	`jnl`	Data Feedback Loops: Model-driven Amplification of Dataset Biases. CoRR Rohan Taori, Tatsunori B. Hashimoto
2022	J	`jnl`	Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning. CoRR Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto
2021	J	`jnl`	Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. CoRR John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt
2021	A*	`conf`	Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. ICML John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt
2021	—	`conf`	Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning. NeurIPS Datasets and Benchmarks Thomas Liao, Rohan Taori, Inioluwa Deborah Raji, Ludwig Schmidt
2020	A*	`conf`	Measuring Robustness to Natural Distribution Shifts in Image Classification. NeurIPS Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
2020	J	`jnl`	Measuring Robustness to Natural Distribution Shifts in Image Classification. CoRR Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
2020	J	`jnl`	Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter. CoRR Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro
2019	J	`jnl`	Autoregressive Models: What Are They Good For? CoRR Murtaza Dalal, Alexander C. Li, Rohan Taori
2019	—	`conf`	Targeted Adversarial Examples for Black Box Audio Systems. IEEE Symposium on Security and Privacy Workshops Rohan Taori, Amog Kamsetty, Brenton Chu, Nikita Vemuri
2018	J	`jnl`	Targeted Adversarial Examples for Black Box Audio Systems. CoRR Rohan Taori, Amog Kamsetty, Brenton Chu, Nikita Vemuri