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Pengfei Liu
Pengfei Liu
Associate professor at Shanghai Jiao Tong University
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
P Liu, W Yuan, J Fu, Z Jiang, H Hayashi, G Neubig
ACM Computing Surveys, 2022
41992022
Recurrent Neural Network for Text Classification with Multi-Task Learning
P Liu, X Qiu, X Huang
IJCAI 2016, 2016
19212016
Adversarial Multi-task Learning for Text Classification
P Liu, X Qiu, X Huang
ACL 2017, 2017
7512017
BARTScore: Evaluating Generated Text as Text Generation
W Yuan, G Neubig, P Liu
NeurIPS, https://arxiv.org/pdf/2106.11520.pdf, 2021
6752021
Lima: Less is more for alignment
C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ...
arXiv preprint arXiv:2305.11206, 2023
6712023
PAL: Program-aided Language Models
L Gao, A Madaan, S Zhou, U Alon, P Liu, Y Yang, J Callan, G Neubig
arXiv preprint arXiv:2211.10435, 2022
5592022
Extractive Summarization as Text Matching
M Zhong, P Liu, Y Chen, D Wang, X Qiu, X Huang
ACL 2020, 2020
5322020
Long short-term memory neural networks for chinese word segmentation
X Chen, X Qiu, C Zhu, P Liu, XJ Huang
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
3542015
Star-Transformer
Q Guo, X Qiu, P Liu, Y Shao, X Xue, Z Zhang
NAACL 2019, 2019
3402019
GPTScore: Evaluate as You Desire
J Fu, SK Ng, Z Jiang, P Liu
arXiv preprint arXiv:2302.04166, 2023
3382023
Heterogeneous Graph Neural Networks for Extractive Document Summarization
D Wang, P Liu, Y Zheng, X Qiu, X Huang
ACL 2020, 2020
3322020
BRIO: Bringing Order to Abstractive Summarization
Y Liu, P Liu, D Radev, G Neubig
ACL 2022, 2022
2692022
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization
Y Liu, P Liu
ACL 2021, 2021
2582021
GSum: A General Framework for Guided Neural Abstractive Summarization
ZY Dou, P Liu, H Hayashi, Z Jiang, G Neubig
NAACL 2021, 2021
2482021
Multi-timescale long short-term memory neural network for modelling sentences and documents
P Liu, X Qiu, X Chen, S Wu, XJ Huang
Proceedings of the 2015 conference on empirical methods in natural language …, 2015
2172015
Searching for Effective Neural Extractive Summarization: What Works and What's Next
M Zhong, P Liu, D Wang, X Qiu, X Huang
ACL 2019, 2019
1872019
Towards a Unified Multi-Dimensional Evaluator for Text Generation
M Zhong, Y Liu, D Yin, Y Mao, Y Jiao, P Liu, C Zhu, H Ji, J Han
EMNLP 2022, 2022
1782022
Re-evaluating Evaluation in Text Summarization
M Bhandari, P Gour, A Ashfaq, P Liu, G Neubig
EMNLP 2020, 2020
1762020
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa
J Dai, H Yan, T Sun, P Liu, X Qiu
NAACL 2021, https://arxiv.org/pdf/2104.04986.pdf, 2021
1602021
Learning Sparse Sharing Architectures for Multiple Tasks
T Sun, Y Shao, X Li, P Liu, H Yan, X Qiu, X Huang
AAAI 2020, 2019
1482019
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