Ming-Wei Chang8 papers on this site (2017–2022)ASQA: Factoid Questions Meet Long-Form AnswersIvan Stelmakh, Yi Luan, Bhuwan Dhingra, et al.2022Promptagator: Few-shot Dense Retrieval From 8 ExamplesZhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022Large Dual Encoders Are Generalizable RetrieversJianmo Ni, Chen Qu, Jing Lu, et al.2021BoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsChristopher Clark, Kenton Lee, Ming-Wei Chang, et al.2019Handling Divergent Reference Texts when Evaluating Table-to-Text GenerationBhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.2019Latent Retrieval for Weakly Supervised Open Domain Question AnsweringKenton Lee, Ming-Wei Chang, Kristina Toutanova2019Well-Read Students Learn Better: On the Importance of Pre-training Compact ModelsIulia Turc, Ming-Wei Chang, Kenton Lee, et al.2019Search-based Neural Structured Learning for Sequential Question AnsweringMohit Iyyer, Wen-tau Yih, Ming-Wei Chang2017