Lifu Tu

Most-cited papers

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
E. Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu +4 more
2022International Conference on Learning Representations1,639 citations
Semantic Scholar
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu, Garima Lalwani, Spandana Gella, He He
2020Transactions of the Association for Computational Linguistics209 citations Open access
Semantic Scholar
A Conversational Paradigm for Program Synthesis
E. Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu +4 more
2022arXiv.org197 citations Open access
Semantic Scholar
Commonsense Knowledge Base Completion
Xiang Lorraine Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel
2016Annual Meeting of the Association for Computational Linguistics180 citations Open access
Semantic Scholar
Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task
Zheng Jon Cai, Lifu Tu, Kevin Gimpel
2017Annual Meeting of the Association for Computational Linguistics69 citations Open access
Semantic Scholar
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel
2020Annual Meeting of the Association for Computational Linguistics60 citations Open access
Semantic Scholar
Learning Approximate Inference Networks for Structured Prediction
Lifu Tu, Kevin Gimpel
2018International Conference on Learning Representations54 citations
Semantic Scholar
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models
Lifu Tu, Cai-Ming Xiong, Ying-Bo Zhou
2022Conference on Empirical Methods in Natural Language Processing32 citations Open access
Semantic Scholar
Benchmarking Approximate Inference Methods for Neural Structured Prediction
Lifu Tu, Kevin Gimpel
2019North American Chapter of the Association for Computational Linguistics18 citations Open access
Semantic Scholar
XGen-7B Technical Report
E. Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang +21 more
2023arXiv.org17 citations Open access
Semantic Scholar
Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu, Kevin Gimpel, K. Livescu
2017Rep4NLP@ACL17 citations Open access
Semantic Scholar
Quality Signals in Generated Stories
Manasvi Sagarkar, J. Wieting, Lifu Tu, Kevin Gimpel
2018International Workshop on Semantic Evaluation16 citations Open access
Semantic Scholar
AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation
Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal +25 more
202315 citations
Semantic Scholar
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
Lifu Tu, Jin Qu, Semih Yavuz, Shafiq R. Joty +3 more
2023Findings14 citations Open access
Semantic Scholar
Generating Diverse Story Continuations with Controllable Semantics
Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel
2019Conference on Empirical Methods in Natural Language Processing13 citations Open access
Semantic Scholar
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel
2019SPNLP12 citations Open access
Semantic Scholar
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
Lifu Tu, Semih Yavuz, Jin Qu, Jia-Cheng Xu +3 more
2023Conference on Empirical Methods in Natural Language Processing9 citations Open access
Semantic Scholar
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo +15 more
2024ECCV Workshops8 citations
Semantic Scholar
Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
Lifu Tu, Rui Meng, Shafiq Joty, Ying-Bo Zhou +1 more
2024Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (UncertaiNLP 2025)5 citations
Semantic Scholar
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation
Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal +5 more
2022arXiv.org5 citations Open access
Semantic Scholar
AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation
Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal +5 more
20224 citations
Semantic Scholar
Reinforcement Learning-based Semi-supervised Knowledge Distillation with LLM-as-a-Judge
Yi-Yang Shen, Lifu Tu, Wei-Ran Wang
20263 citations
Semantic Scholar
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models
Lifu Tu, Semih Yavuz, Jin Qu, Jia-Cheng Xu +3 more
2023arXiv.org3 citations
Semantic Scholar
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
Lifu Tu, Tian-Yu Liu, Kevin Gimpel
2020Conference on Empirical Methods in Natural Language Processing1 citations Open access
Semantic Scholar
LLM NL2SQL Robustness: Surface Noise vs. Linguistic Variation in Traditional and Agentic Settings
Lifu Tu, Rong Wang, Tao Sheng, S. Ravi +1 more
2026arXiv.org0 citations
Semantic Scholar
Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters
Lifu Tu, Ying-Bo Zhou, Semih Yavuz
2025arXiv.org0 citations
Semantic Scholar
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
Rui Meng, Ye Liu, Lifu Tu, Da-Qing He +2 more
2024Conference on Empirical Methods in Natural Language Processing0 citations
Semantic Scholar
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
Lifu Tu
2021arXiv.org0 citations
Semantic Scholar
Improving and Stabilizing Deep Energy-Based Learning
Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel
20190 citations
Semantic Scholar
Network Inference by Learned Node-Specific Degree Prior
Qingming Tang, Lifu Tu, Weiran Wang, Jin-Bo Xu
2016arXiv.org0 citations
Semantic Scholar
Certified Robustness for Large Language Models with Self-Denoising Anonymous ACL submission
M. Mirman, T. Gehr, E. Nijkamp, Bo Pang +98 more
0 citations
Semantic Scholar
CoderGen: Towards Domain-Specific Code Generation of Large Language Models
Igor Tang, Suchir Babuschkin, Shantanu Balaji, Jain +496 more
0 citations
Semantic Scholar