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An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks


Oct 06, 2020
Lifu Tu, Tianyu Liu, Kevin Gimpel

* EMNLP 2020. The first two authors contributed equally 

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An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models


Aug 11, 2020
Lifu Tu, Garima Lalwani, Spandana Gella, He He

* Accepted to TACL 2020 

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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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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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Generating Diverse Story Continuations with Controllable Semantics


Sep 30, 2019
Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel

* EMNLP 2019 Workshop on Neural Generation and Translation (WNGT2019), and non-archival acceptance in NeuralGen 2019 

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Benchmarking Approximate Inference Methods for Neural Structured Prediction


Apr 01, 2019
Lifu Tu, Kevin Gimpel

* accepted by NAACL2019 

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Learning Approximate Inference Networks for Structured Prediction


Mar 09, 2018
Lifu Tu, Kevin Gimpel

* accepted by ICLR2018 

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Learning to Embed Words in Context for Syntactic Tasks


Jun 12, 2017
Lifu Tu, Kevin Gimpel, Karen Livescu

* Accepted by ACL 2017 Repl4NLP workshop 

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Network Inference by Learned Node-Specific Degree Prior


Feb 07, 2016
Qingming Tang, Lifu Tu, Weiran Wang, Jinbo Xu


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