Bai, Andrew

5 publications

ICLR 2026 Self-Forcing++: Towards Minute-Scale High-Quality Video Generation Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh

NeurIPS 2025 On the Loss of Context Awareness in General Instruction Fine-Tuning Yihan Wang, Andrew Bai, Nanyun Peng, Cho-Jui Hsieh

NeurIPS 2025 Unlabeled Data Improves Fine-Grained Image Zero-Shot Classification with Multimodal LLMs Yunqi Hong, Sohyun An, Andrew Bai, Neil Lin, Cho-Jui Hsieh

TMLR 2024 Data Attribution for Diffusion Models: Timestep-Induced Bias in Influence Estimation Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh

ICLR 2023 Concept Gradient: Concept-Based Interpretation Without Linear Assumption Andrew Bai, Chih-Kuan Yeh, Neil Y.C. Lin, Pradeep Kumar Ravikumar, Cho-Jui Hsieh