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



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

* Accepted to appear at NAACL 2022 

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Amortized Noisy Channel Neural Machine Translation



Richard Yuanzhe Pang , He He , Kyunghyun Cho


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QuALITY: Question Answering with Long Input Texts, Yes!



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



Vishakh Padmakumar , He He

* Novel Ideas in Learning-to-Learn through Interaction - Workshop @ EMNLP 2021 

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Meta-learning via Language Model In-context Tuning



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



Udit Arora , William Huang , He He

* EMNLP 2021 

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



Faisal Ladhak , Esin Durmus , He He , Claire Cardie , Kathleen McKeown


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



Nitish Joshi , He He


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Unsupervised Extractive Summarization using Pointwise Mutual Information



Vishakh Padmakumar , He He

* To appear at EACL 2021 

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Text Generation by Learning from Off-Policy Demonstrations



Richard Yuanzhe Pang , He He


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