Lifu Tu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Structured Prediction

Program Synthesis

Top Venues

Trans. Assoc. Comput. Linguistics

Publications

Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. EACL (Findings) (2024)
Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong
XGen-7B Technical Report. CoRR (2023)
Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models. CoRR (2023)
Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. CoRR (2023)
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR (2023)
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
A Conversational Paradigm for Program Synthesis. CoRR (2022)
Lifu Tu, Caiming Xiong, Yingbo Zhou
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. EMNLP (Findings) (2022)
Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. CoRR (2022)
Lifu Tu, Caiming Xiong, Yingbo Zhou
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. CoRR (2022)
Lifu Tu
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP. CoRR (2021)
Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. SPNLP@EMNLP (2020)
Lifu Tu, Tianyu Liu, Kevin Gimpel
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. CoRR (2020)
Lifu Tu, Garima Lalwani, Spandana Gella, He He
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models. CoRR (2020)
Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. CoRR (2020)
Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. ACL (2020)
Lifu Tu, Garima Lalwani, Spandana Gella, He He
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models. Trans. Assoc. Comput. Linguistics 8 (2020)
Lifu Tu, Tianyu Liu, Kevin Gimpel
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. EMNLP (1) (2020)
Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. CoRR (2019)
Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel
Generating Diverse Story Continuations with Controllable Semantics. CoRR (2019)
Lifu Tu, Kevin Gimpel
Benchmarking Approximate Inference Methods for Neural Structured Prediction. NAACL-HLT (1) (2019)
Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel
Generating Diverse Story Continuations with Controllable Semantics. NGT@EMNLP-IJCNLP (2019)
Lifu Tu, Kevin Gimpel
Benchmarking Approximate Inference Methods for Neural Structured Prediction. CoRR (2019)
Lifu Tu, Kevin Gimpel
Learning Approximate Inference Networks for Structured Prediction. CoRR (2018)
Manasvi Sagarkar, John Wieting, Lifu Tu, Kevin Gimpel
Quality Signals in Generated Stories. *SEM@NAACL-HLT (2018)
Lifu Tu, Kevin Gimpel
Learning Approximate Inference Networks for Structured Prediction. ICLR (Poster) (2018)
Lifu Tu, Kevin Gimpel, Karen Livescu
Learning to Embed Words in Context for Syntactic Tasks. Rep4NLP@ACL (2017)
Lifu Tu, Kevin Gimpel, Karen Livescu
Learning to Embed Words in Context for Syntactic Tasks. CoRR (2017)
Zheng Cai, Lifu Tu, Kevin Gimpel
Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task. ACL (2) (2017)
Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel
Commonsense Knowledge Base Completion. ACL (1) (2016)
Qingming Tang, Lifu Tu, Weiran Wang, Jinbo Xu
Network Inference by Learned Node-Specific Degree Prior. CoRR (2016)