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AgreeSum: Agreement-Oriented Multi-Document Summarization


Jun 04, 2021
Richard Yuanzhe Pang, Adam D. Lelkes, Vinh Q. Tran, Cong Yu

* Findings of ACL 2021 

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Comparing Test Sets with Item Response Theory


Jun 01, 2021
Clara Vania, Phu Mon Htut, William Huang, Dhara Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman

* ACL 2021 

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Text Generation by Learning from Off-Policy Demonstrations


Sep 16, 2020
Richard Yuanzhe Pang, He He


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ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation


May 12, 2020
Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel

* ACL 2020 camera-ready version 

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Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?


May 09, 2020
Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann, Samuel R. Bowman

* ACL 2020 

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Consistency of a Recurrent Language Model With Respect to Incomplete Decoding


Feb 06, 2020
Sean Welleck, Ilia Kulikov, Jaedeok Kim, Richard Yuanzhe Pang, Kyunghyun Cho


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Improving Joint Training of Inference Networks and Structured Prediction Energy Networks


Nov 07, 2019
Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel


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The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation


Oct 10, 2019
Richard Yuanzhe Pang

* Extended abstract in EMNLP Workshop on Neural Generation and Translation (WNGT 2019) 

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