Publications

Also see my profiles on Google Scholar and Semantic Scholar

• Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
  Lifu Tu, Rui Meng, Shafiq Joty, Yingbo Zhou, Semih Yavuz

• 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
  EMNLP 2024 code

• xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
  Can Qin *, Congying Xia *,Krithika Ramakrishnan *,Michael Ryoo *,Lifu Tu *, Yihao Feng *, etc.
  ECCV24 AI4VA

• Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
  Rui Meng, Ye Liu, Lifu Tu, Daqing He, Yingbo Zhou, Semih Yavuz
  Findings of EMNLP 2024

• AugTriever: Unsupervised Dense Retrieval by Scalable Data Augmentation
  The 4th International Workshop on Data-Centric AI at CIKM 2024 (DCAI-24)

• 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
  Findings of ACL (EACL-24)
  paper code

• XGen-7B Technical Report

• Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models
  Lifu Tu, Caiming Xiong, Yingbo Zhou
  Findings of ACL (EMNLP-2022)
  paper code

• 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
  ICLR 2023

• Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
  Lifu Tu
  Ph.D. Thesis

• An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks
  EMNLP 2020
  Lifu Tu * , Tianyu Liu * , kevin Gimpel
  paper slides code

• Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
  Contributed (spotlight) Talk 4th Workshop on Structured Prediction for NLP
  Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel
  paper slides code (Pytorch) code (Theano)

• ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
  ACL 2020
  Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel
  paper code slides

• An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
  TACL 2020
  Lifu Tu, Garima Lalwani, Spandana Gella, He He
  paper code slides

• Generating Diverse Story Continuations with Controllable Semantics
  WNGT19
  Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel
  paper

• Benchmarking Approximate Inference Methods for Neural Structured Prediction
  NAACL 2019
  Lifu Tu, Kevin Gimpel
  code poster

• Learning Approximate Inference Networks for Structured Prediction
  ICLR 2018
  Lifu Tu, Kevin Gimpel
  paper poster code OpenReview

• Quality Signals in Generated Stories
  * SEM 2018
  Manasvi Sagarkar, John Wieting, Lifu Tu, Kevin Gimpel

• Learning to Embed Words in Context for Syntactic Tasks
  Lifu Tu, Kevin Gimpel, karen Livescu
  ACL repl4NLP workshop 2017 Best Paper Award
  paper poster TE_TweeboParser

• Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task
  Zheng Cai, Lifu Tu, Kevin Gimpel
  ACL 2017
  paper

• Commonsense Knowledge Base Completion
  ACL 2016
  Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel
  paper resources

• Network Inference by Learned Node-Specific Degree Prior
  Qingming Tang * , Lifu Tu * , Weiran Wang * , Aly A. Khan and Jinbo Xu
  paper