Shu, Manli

14 publications

ICLRW 2025 TACO: Learning Multi-Modal Models to Reason and Act with Synthetic Chains-of-Thought-and-Action Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese

ICLRW 2024 Coercing LLMs to Do and Reveal (almost) Anything Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein

NeurIPS 2024 MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt

ICLR 2024 On the Reliability of Watermarks for Large Language Models John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein

NeurIPS 2024 Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang

ICLRW 2024 Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang

ECCVW 2024 xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

NeurIPS 2023 Battle of the Backbones: A Large-Scale Comparison of Pretrained Models Across Computer Vision Tasks Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew G Wilson, Tom Goldstein

NeurIPS 2023 On the Exploitability of Instruction Tuning Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein

NeurIPS 2022 Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao

ICLR 2022 The Close Relationship Between Contrastive Learning and Meta-Learning Renkun Ni, Manli Shu, Hossein Souri, Micah Goldblum, Tom Goldstein

NeurIPS 2022 Where Do Models Go Wrong? Parameter-Space Saliency Maps for Explainability Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein

NeurIPS 2021 Encoding Robustness to Image Style via Adversarial Feature Perturbations Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein

NeurIPS 2021 Gradient-Free Adversarial Training Against Image Corruption for Learning-Based Steering Yu Shen, Laura Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming Lin