Targeted Adversarial Examples for Black Box Audio Systems. - Rohan Taori; Amog Kamsetty; Brenton Chu; Nikita Vemuri (IEEE Symposium on Security and Privacy Workshops, 2019)

Autoregressive Models: What Are They Good For? - Murtaza Dalal; Alexander C. Li; Rohan Taori (CoRR, 2019)

Measuring Robustness to Natural Distribution Shifts in Image Classification. - Rohan Taori; Achal Dave; Vaishaal Shankar; Nicholas Carlini; Benjamin Recht; Ludwig Schmidt (NeurIPS, 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)

Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. - John Miller 001; Rohan Taori; Aditi Raghunathan; Shiori Sagawa; Pang Wei Koh; Vaishaal Shankar; Percy Liang; Yair Carmon; Ludwig Schmidt (ICML, 2021)

Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning. - Thomas Liao; Rohan Taori; Deborah Raji; Ludwig Schmidt (NeurIPS Datasets and Benchmarks, 2021)

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)

Is a Caption Worth a Thousand Images? A Study on Representation Learning. - Shibani Santurkar; Yann Dubois; Rohan Taori; Percy Liang; Tatsunori Hashimoto (ICLR, 2023)

Data Feedback Loops: Model-driven Amplification of Dataset Biases. - Rohan Taori; Tatsunori Hashimoto (ICML, 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 001; Rohan Taori; Ludwig Schmidt (NeurIPS, 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 (NeurIPS, 2023)

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. - Yann Dubois; Xuechen Li 005; Rohan Taori; Tianyi Zhang; Ishaan Gulrajani; Jimmy Ba; Carlos Guestrin; Percy Liang; 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 001; Rohan Taori; Ludwig Schmidt (CoRR, 2023)

Benchmarking Multi-Domain Active Learning on Image Classification. - Jiayi Li; Rohan Taori; Tatsunori B. Hashimoto (CoRR, 2023)

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 001; Katsushi Ikeuchi; Hoi Vo; et al. (CoRR, 2024)

An Interactive Agent Foundation Model. - Zane Durante; Bidipta Sarkar; Ran Gong; Rohan Taori; Yusuke Noda; Paul Tang; Ehsan Adeli 001; Shrinidhi Kowshika Lakshmikanth; Kevin A. Schulman; Arnold Milstein; Demetri Terzopoulos; Ade Famoti; et al. (CoRR, 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 001; et al. (CoRR, 2024)

An Interactive Agent Foundation Model. - Zane Durante; Ran Gong; Bidipta Sarkar; Naoki Wake; Rohan Taori; Paul Tang; Shrinidhi Kowshika Lakshmikanth; Kevin A. Schulman; Arnold Milstein; Hoi Vo; Ehsan Adeli 001; Demetri Terzopoulos; et al. (CVPR Workshops, 2025)