Chang, Ming-Wei

17 publications

TMLR 2026 KITTEN: A Knowledge-Integrated Evaluation of Image Generation on Visual Entities Hsin-Ping Huang, Xinyi Wang, Yonatan Bitton, Hagai Taitelbaum, Gaurav Singh Tomar, Ming-Wei Chang, Xuhui Jia, Kelvin C.K. Chan, Hexiang Hu, Yu-Chuan Su, Ming-Hsuan Yang

CVPR 2024 Instruct-Imagen: Image Generation with Multi-Modal Instruction Hexiang Hu, Kelvin C.K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William Cohen, Ming-Wei Chang, Xuhui Jia

ICML 2024 MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang

NeurIPS 2023 Conditional Adapters: Parameter-Efficient Transfer Learning with Fast Inference Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

ICCV 2023 Open-Domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang

ICML 2023 Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova

ICLR 2023 Promptagator: Few-Shot Dense Retrieval from 8 Examples Zhuyun Dai, Vincent Y Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith Hall, Ming-Wei Chang

NeurIPS 2023 Rethinking the Role of Token Retrieval in Multi-Vector Retrieval Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Zhao

NeurIPS 2023 Subject-Driven Text-to-Image Generation via Apprenticeship Learning Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen

ICLR 2021 Open Question Answering over Tables and Text Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen

ICLR 2020 Well-Read Students Learn Better: On the Importance of Pre-Training Compact Models Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

AAAI 2018 A Knowledge-Grounded Neural Conversation Model Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley

CVPR 2012 Learning Shared Body Plans Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem

MLJ 2012 Structured Learning with Constrained Conditional Models Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth

ICML 2010 Structured Output Learning with Indirect Supervision Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth

AAAI 2008 Importance of Semantic Representation: Dataless Classification Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar

AAAI 2008 Learning and Inference with Constraints Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo, Dan Roth