Lifu Tu

According to our database, Lifu Tu authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations.

Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

CoRR, 2024

Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding.

Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models.

Rui Meng, Ye Liu, Lifu Tu, Daqing He, Yingbo Zhou, Semih Yavuz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models.

Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou

CoRR, 2023

XGen-7B Technical Report.

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

CoRR, 2023

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou

CoRR, 2022

A Conversational Paradigm for Program Synthesis.

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

CoRR, 2022

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

Lifu Tu, Caiming Xiong, Yingbo Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

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

Lifu Tu

CoRR, 2021

2020

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

Lifu Tu, Garima Lalwani, Spandana Gella, He He

Trans. Assoc. Comput. Linguistics, 2020

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

Lifu Tu, Tianyu Liu, Kevin Gimpel

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Improving Joint Training of Inference Networks and Structured Prediction Energy Networks.

Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel

Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, 2020

2019

Benchmarking Approximate Inference Methods for Neural Structured Prediction.

Lifu Tu, Kevin Gimpel

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Generating Diverse Story Continuations with Controllable Semantics.

Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

2018

Quality Signals in Generated Stories.

Manasvi Sagarkar, John Wieting, Lifu Tu, Kevin Gimpel

Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Learning Approximate Inference Networks for Structured Prediction.

Lifu Tu, Kevin Gimpel

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Learning to Embed Words in Context for Syntactic Tasks.

Lifu Tu, Kevin Gimpel, Karen Livescu

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task.

Zheng Cai, Lifu Tu, Kevin Gimpel

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Network Inference by Learned Node-Specific Degree Prior.

Qingming Tang, Lifu Tu, Weiran Wang, Jinbo Xu

CoRR, 2016

Commonsense Knowledge Base Completion.

Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016