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He He

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Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning

Apr 23, 2022
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis

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Amortized Noisy Channel Neural Machine Translation

Dec 16, 2021
Richard Yuanzhe Pang, He He, Kyunghyun Cho

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QuALITY: Question Answering with Long Input Texts, Yes!

Dec 16, 2021
Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman

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Machine-in-the-Loop Rewriting for Creative Image Captioning

Nov 07, 2021
Vishakh Padmakumar, He He

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Meta-learning via Language Model In-context Tuning

Oct 15, 2021
Yanda Chen, Ruiqi Zhong, Sheng Zha, George Karypis, He He

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Types of Out-of-Distribution Texts and How to Detect Them

Sep 14, 2021
Udit Arora, William Huang, He He

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Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization

Aug 31, 2021
Faisal Ladhak, Esin Durmus, He He, Claire Cardie, Kathleen McKeown

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An Investigation of the (In)effectiveness of Counterfactually Augmented Data

Jul 01, 2021
Nitish Joshi, He He

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Unsupervised Extractive Summarization using Pointwise Mutual Information

Feb 11, 2021
Vishakh Padmakumar, He He

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Text Generation by Learning from Off-Policy Demonstrations

Sep 16, 2020
Richard Yuanzhe Pang, He He

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