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Label Semantic Aware Pre-training for Few-shot Text Classification


Apr 14, 2022
Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth

* Accepted at ACL 2022 

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Measuring and Reducing Model Update Regression in Structured Prediction for NLP


Feb 07, 2022
Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang


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Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System


Sep 29, 2021
Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, Yi Zhang


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Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-based Encoder


Sep 09, 2021
Elman Mansimov, Yi Zhang


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Towards End-to-End In-Image Neural Machine Translation


Oct 20, 2020
Elman Mansimov, Mitchell Stern, Mia Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain

* Accepted as an oral presentation at EMNLP, NLP Beyond Text workshop, 2020 

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Capturing document context inside sentence-level neural machine translation models with self-training


Mar 11, 2020
Elman Mansimov, Gábor Melis, Lei Yu


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A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models


May 29, 2019
Elman Mansimov, Alex Wang, Kyunghyun Cho


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Molecular geometry prediction using a deep generative graph neural network


Mar 31, 2019
Elman Mansimov, Omar Mahmood, Seokho Kang, Kyunghyun Cho

* 29 pages, 8 figures 

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Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement


Aug 27, 2018
Jason Lee, Elman Mansimov, Kyunghyun Cho

* Accepted to EMNLP'18 

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Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation


Aug 18, 2017
Yuhuai Wu, Elman Mansimov, Shun Liao, Roger Grosse, Jimmy Ba

* 14 pages, 9 figures; update github repo link 

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