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Lifu Tu
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2020 – today
- 2024
- [c13]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: 1278-1294 - 2023
- [c12]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 - [i16]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 abs/2304.01295 (2023) - [i15]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 abs/2309.03450 (2023) - [i14]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 abs/2312.06149 (2023) - 2022
- [c11]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: 5478-5485 - [i13]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
A Conversational Paradigm for Program Synthesis. CoRR abs/2203.13474 (2022) - [i12]Lifu Tu, Caiming Xiong, Yingbo Zhou:
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. CoRR abs/2210.12360 (2022) - [i11]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 abs/2212.08841 (2022) - 2021
- [i10]Lifu Tu:
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP. CoRR abs/2108.12522 (2021) - 2020
- [j1]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: 621-633 (2020) - [c10]Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman
, Kevin Gimpel:
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. ACL 2020: 2819-2826 - [c9]Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel:
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. SPNLP@EMNLP 2020: 62-73 - [c8]Lifu Tu, Tianyu Liu, Kevin Gimpel:
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. EMNLP (1) 2020: 5569-5582 - [i9]Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel:
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. CoRR abs/2005.00850 (2020) - [i8]Lifu Tu, Garima Lalwani, Spandana Gella, He He:
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models. CoRR abs/2007.06778 (2020) - [i7]Lifu Tu, Tianyu Liu, Kevin Gimpel:
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. CoRR abs/2010.02789 (2020)
2010 – 2019
- 2019
- [c7]Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel:
Generating Diverse Story Continuations with Controllable Semantics. NGT@EMNLP-IJCNLP 2019: 44-58 - [c6]Lifu Tu, Kevin Gimpel:
Benchmarking Approximate Inference Methods for Neural Structured Prediction. NAACL-HLT (1) 2019: 3313-3324 - [i6]Lifu Tu, Kevin Gimpel:
Benchmarking Approximate Inference Methods for Neural Structured Prediction. CoRR abs/1904.01138 (2019) - [i5]Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel:
Generating Diverse Story Continuations with Controllable Semantics. CoRR abs/1909.13434 (2019) - [i4]Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel:
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. CoRR abs/1911.02891 (2019) - 2018
- [c5]Lifu Tu, Kevin Gimpel:
Learning Approximate Inference Networks for Structured Prediction. ICLR (Poster) 2018 - [c4]Manasvi Sagarkar, John Wieting, Lifu Tu, Kevin Gimpel:
Quality Signals in Generated Stories. *SEM@NAACL-HLT 2018: 192-202 - [i3]Lifu Tu, Kevin Gimpel:
Learning Approximate Inference Networks for Structured Prediction. CoRR abs/1803.03376 (2018) - 2017
- [c3]Zheng Cai, Lifu Tu, Kevin Gimpel:
Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task. ACL (2) 2017: 616-622 - [c2]Lifu Tu, Kevin Gimpel, Karen Livescu:
Learning to Embed Words in Context for Syntactic Tasks. Rep4NLP@ACL 2017: 265-275 - [i2]Lifu Tu, Kevin Gimpel, Karen Livescu:
Learning to Embed Words in Context for Syntactic Tasks. CoRR abs/1706.02807 (2017) - 2016
- [c1]Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel:
Commonsense Knowledge Base Completion. ACL (1) 2016 - [i1]Qingming Tang, Lifu Tu, Weiran Wang, Jinbo Xu:
Network Inference by Learned Node-Specific Degree Prior. CoRR abs/1602.02386 (2016)
Coauthor Index
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last updated on 2024-08-10 01:26 CEST by the dblp team
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