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A Conversational Paradigm for Program Synthesis



Erik Nijkamp , Bo Pang , Hiroaki Hayashi , Lifu Tu , Huan Wang , Yingbo Zhou , Silvio Savarese , Caiming Xiong


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Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP



Lifu Tu

* Ph.D. Thesis 

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



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



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



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



Lifu Tu , Richard Yuanzhe Pang , Kevin Gimpel


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Generating Diverse Story Continuations with Controllable Semantics



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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