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Meta-Learning Fast Weight Language Models


Dec 05, 2022
Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey Hinton, Mohammad Norouzi

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* EMNLP 2022 short paper 

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Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding


Oct 07, 2022
Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova

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Promptagator: Few-shot Dense Retrieval From 8 Examples


Sep 23, 2022
Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang

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ASQA: Factoid Questions Meet Long-Form Answers


Apr 12, 2022
Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, Ming-Wei Chang

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FRUIT: Faithfully Reflecting Updated Information in Text


Dec 16, 2021
Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang

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* v1.0 

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Large Dual Encoders Are Generalizable Retrievers


Dec 15, 2021
Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang

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Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer


Jun 30, 2021
Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova

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Joint Passage Ranking for Diverse Multi-Answer Retrieval


Apr 17, 2021
Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi

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* 13 pages 

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Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations


Apr 15, 2021
Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang

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CapWAP: Captioning with a Purpose


Nov 09, 2020
Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay

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* EMNLP 2020 

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