Lifu Tu | DeepAI

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Featured Co-authors

Caiming Xiong
210 publications
Dong Yu
160 publications
Silvio Savarese
130 publications
Shafiq Joty
118 publications
Huan Wang
82 publications
Tianyu Liu
68 publications
Ye Liu
65 publications
Kevin Gimpel
64 publications
Karen Livescu
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Yingbo Zhou
49 publications
Jianguo Zhang
43 publications

∙ 04/03/2023

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning

Cross-lingual transfer of language models trained on high-resource langu...

2 Lifu Tu, et al. ∙

∙ 12/17/2022

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation

Dense retrievers have made significant strides in obtaining state-of-the...

0 Rui Meng, et al. ∙

∙ 10/22/2022

Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models

Pre-trained multilingual language models show significant performance ga...

0 Lifu Tu, et al. ∙

∙ 03/25/2022

A Conversational Paradigm for Program Synthesis

Program synthesis strives to generate a computer program as a solution t...

11 Erik Nijkamp, et al. ∙

∙ 08/27/2021

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

Structured prediction in natural language processing (NLP) has a long hi...

0 Lifu Tu, et al. ∙

∙ 10/06/2020

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

Many tasks in natural language processing involve predicting structured ...

0 Lifu Tu, et al. ∙

∙ 07/14/2020

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

Recent work has shown that pre-trained language models such as BERT impr...

0 Lifu Tu, et al. ∙

∙ 05/02/2020

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

We propose to train a non-autoregressive machine translation model to mi...

0 Lifu Tu, et al. ∙

∙ 11/07/2019

Improving Joint Training of Inference Networks and Structured Prediction Energy Networks

Deep energy-based models are powerful, but pose challenges for learning ...

0 Lifu Tu, et al. ∙

∙ 09/30/2019

Generating Diverse Story Continuations with Controllable Semantics

We propose a simple and effective modeling framework for controlled gene...

4 Lifu Tu, et al. ∙

∙ 04/01/2019

Benchmarking Approximate Inference Methods for Neural Structured Prediction

Exact structured inference with neural network scoring functions is comp...

6 Lifu Tu, et al. ∙

∙ 03/09/2018

Learning Approximate Inference Networks for Structured Prediction

Structured prediction energy networks (SPENs; Belanger & McCallum 2016) ...

0 Lifu Tu, et al. ∙

∙ 06/09/2017

Learning to Embed Words in Context for Syntactic Tasks

We present models for embedding words in the context of surrounding word...

0 Lifu Tu, et al. ∙

∙ 02/07/2016

Network Inference by Learned Node-Specific Degree Prior

We propose a novel method for network inference from partially observed ...

0 Qingming Tang, et al. ∙

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