WebQA: A Multimodal Multihop NeurIPS Challenge. - Yingshan Chang; Yonatan Bisk (NeurIPS (Competition and Demos), 2021)

WebQA: Multihop and Multimodal QA. - Yingshan Chang; Guihong Cao; Mridu Narang; Jianfeng Gao 001; Hisami Suzuki; Yonatan Bisk (CVPR, 2022)

Toxicity Detection with Generative Prompt-based Inference. - Yau-Shian Wang; Yingshan Chang (CoRR, 2022)

Training Vision-Language Transformers from Captions. - Liangke Gui; Yingshan Chang; Qiuyuan Huang; Subhojit Som; Alexander G. Hauptmann; Jianfeng Gao 001; Yonatan Bisk (Trans. Mach. Learn. Res., 2023)

VISREAS: Complex Visual Reasoning with Unanswerable Questions. - Syeda Nahida Akter; Sangwu Lee; Yingshan Chang; Yonatan Bisk; Eric Nyberg (ACL (Findings), 2024)

Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation. - Yingshan Chang; Yasi Zhang; Zhiyuan Fang; Ying Nian Wu; Yonatan Bisk; Feng Gao 013 (ECCV (87), 2024)

Tools Fail: Detecting Silent Errors in Faulty Tools. - Jimin Sun; So Yeon Min; Yingshan Chang; Yonatan Bisk (EMNLP, 2024)

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition. - Shaurya Dewan; Rushikesh Zawar; Prakanshul Saxena; Yingshan Chang; Andrew F. Luo; Yonatan Bisk (NeurIPS, 2024)

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching. - Yasi Zhang; Peiyu Yu; Yaxuan Zhu; Yingshan Chang; Feng Gao 013; Ying Nian Wu; Oscar Leong (NeurIPS, 2024)

DiffusionPID: Interpreting Diffusion via Partial Information Decomposition. - Shaurya Dewan; Rushikesh Zawar; Prakanshul Saxena; Yingshan Chang; Andrew F. Luo; Yonatan Bisk (CoRR, 2024)

Language Models Need Inductive Biases to Count Inductively. - Yingshan Chang; Yonatan Bisk (ICLR, 2025)

Model Successor Functions. - Yingshan Chang; Yonatan Bisk (CoRR, 2025)