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Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral

Jun 15, 2021
Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui

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Mode recovery in neural autoregressive sequence modeling

Jun 10, 2021
Ilia Kulikov, Sean Welleck, Kyunghyun Cho

* ACL-IJCNLP 2021 5th Workshop on Structured Prediction for NLP 

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NaturalProofs: Mathematical Theorem Proving in Natural Language

Mar 24, 2021
Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho

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MLE-guided parameter search for task loss minimization in neural sequence modeling

Jun 04, 2020
Sean Welleck, Kyunghyun Cho

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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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Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training

Nov 10, 2019
Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho, Jason Weston

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Neural Text Generation with Unlikelihood Training

Aug 12, 2019
Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, Jason Weston

* Sean Welleck and Ilia Kulikov contributed equally 

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Sequential Graph Dependency Parser

May 27, 2019
Sean Welleck, Kyunghyun Cho

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Non-Monotonic Sequential Text Generation

Feb 05, 2019
Sean Welleck, Kianté Brantley, Hal Daumé III, Kyunghyun Cho

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Dialogue Natural Language Inference

Nov 01, 2018
Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho

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Loss Functions for Multiset Prediction

Oct 25, 2018
Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho

* NIPS 2018 

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Saliency-based Sequential Image Attention with Multiset Prediction

Nov 14, 2017
Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang

* To appear in Advances in Neural Information Processing Systems 30 (NIPS 2017) 

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