Commonsense Knowledge Base Completion. - Xiang Li 069; Aynaz Taheri; Lifu Tu; Kevin Gimpel (ACL (1), 2016)

Network Inference by Learned Node-Specific Degree Prior. - Qingming Tang; Lifu Tu; Weiran Wang; Jinbo Xu (CoRR, 2016)

Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task. - Zheng Cai; Lifu Tu; Kevin Gimpel (ACL (2), 2017)

Learning to Embed Words in Context for Syntactic Tasks. - Lifu Tu; Kevin Gimpel; Karen Livescu (Rep4NLP@ACL, 2017)

Learning Approximate Inference Networks for Structured Prediction. - Lifu Tu; Kevin Gimpel (ICLR (Poster), 2018)

Quality Signals in Generated Stories. - Manasvi Sagarkar; John Wieting; Lifu Tu; Kevin Gimpel (*SEM@NAACL-HLT, 2018)

Generating Diverse Story Continuations with Controllable Semantics. - Lifu Tu; Xiaoan Ding; Dong Yu; Kevin Gimpel (NGT@EMNLP-IJCNLP, 2019)

Benchmarking Approximate Inference Methods for Neural Structured Prediction. - Lifu Tu; Kevin Gimpel (NAACL-HLT (1), 2019)

Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. - Lifu Tu; Richard Yuanzhe Pang; Kevin Gimpel (SPNLP@EMNLP, 2020)

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. - Lifu Tu; Richard Yuanzhe Pang; Sam Wiseman; Kevin Gimpel (ACL, 2020)

An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. - Lifu Tu; Tianyu Liu 001; Kevin Gimpel (EMNLP (1), 2020)

An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models. - Lifu Tu; Garima Lalwani; Spandana Gella; He He 001 (Trans. Assoc. Comput. Linguistics, 2020)

Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP. - Lifu Tu (CoRR, 2021)

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

A Conversational Paradigm for Program Synthesis. - Erik Nijkamp; Bo Pang 004; Hiroaki Hayashi; Lifu Tu; Huan Wang 014; Yingbo Zhou; Silvio Savarese; Caiming Xiong (CoRR, 2022)

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. - Rui Meng; Ye Liu 006; Semih Yavuz; Divyansh Agarwal; Lifu Tu; Ning Yu; Jianguo Zhang 005; Meghana Bhat; Yingbo Zhou (CoRR, 2022)

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. - Erik Nijkamp; Bo Pang 004; Hiroaki Hayashi; Lifu Tu; Huan Wang 014; Yingbo Zhou; Silvio Savarese; Caiming Xiong (ICLR, 2023)

XGen-7B Technical Report. - Erik Nijkamp; Tian Xie; Hiroaki Hayashi; Bo Pang 004; Congying Xia; Chen Xing; Jesse Vig; Semih Yavuz; Philippe Laban; Ben Krause; Senthil Purushwalkam; Tong Niu; et al. (CoRR, 2023)

Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models. - Lifu Tu; Semih Yavuz; Jin Qu; Jiacheng Xu 001; Rui Meng; Caiming Xiong; Yingbo Zhou (CoRR, 2023)

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. - Lifu Tu; Jin Qu; Semih Yavuz; Shafiq Joty; Wenhao Liu 003; Caiming Xiong; Yingbo Zhou (EACL (Findings), 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 090; Senthil Purushwalkam; Le Xue; et al. (ECCV Workshops (5), 2024)

Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models. - Rui Meng; Ye Liu 006; Lifu Tu; Daqing He; Yingbo Zhou; Semih Yavuz (EMNLP (Findings), 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 (EMNLP, 2024)

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 (CoRR, 2024)