Pengfei Liu

Cited by

	All	Since 2019
Citations	13626	12942
h-index	39	39
i10-index	66	65

4400

2200

1100

3300

20162017201820192020202120222023202472 169 413 560 780 1274 2324 4388 3536

Public access

View all

19 articles

1 article

available

not available

Based on funding mandates

Co-authors

Xipeng Qiu（邱锡鹏）Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Huang Xuanjing (黄萱菁)Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Graham NeubigCarnegie Mellon UniversityVerified email at cs.cmu.edu
Jinlan FuNational University of SingaporeVerified email at nus.edu.sg
Weizhe YuanNew York UniversityVerified email at nyu.edu
Yixin LiuYale UniversityVerified email at yale.edu
Zhengbao JiangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Danqing WangCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Ming ZhongUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Hiroaki HayashiSalesforce ResearchVerified email at salesforce.com
Ethan ChernCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Qi Zhang (张奇)Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Chunting ZhouFacebook AI ResearchVerified email at meta.com
Zi-Yi DouUniversity of California, Los AngelesVerified email at cs.ucla.edu
Yiran ChenFudan UniversityVerified email at fudan.edu.cn
Qipeng GuoFudan UniversityVerified email at fudan.edu.cn
Yuning MaoGenAI, MetaVerified email at fb.com
Xinchi ChenSenior Applied Scientist at Amazon, Santa Clara, CA, USAVerified email at amazon.com
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
See-Kiong NgInstitute of Data Science and School of Computing, National University of SingaporeVerified email at nus.edu.sg

Pengfei Liu

Associate professor at Shanghai Jiao Tong University

Verified email at andrew.cmu.edu - Homepage

Natural Language Processing Text Summarization Diagnosis for NLP Models Multi-task Learning


Title Sort by citations Sort by year Sort by 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	3703	2022
Recurrent Neural Network for Text Classification with Multi-Task Learning P Liu, X Qiu, X Huang IJCAI 2016, 2016	1865	2016
Adversarial Multi-task Learning for Text Classification P Liu, X Qiu, X Huang ACL 2017, 2017	731	2017
BARTScore: Evaluating Generated Text as Text Generation W Yuan, G Neubig, P Liu NeurIPS, https://arxiv.org/pdf/2106.11520.pdf, 2021	610	2021
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	534	2023
Extractive Summarization as Text Matching M Zhong, P Liu, Y Chen, D Wang, X Qiu, X Huang ACL 2020, 2020	503	2020
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	466	2022
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	347	2015
Star-Transformer Q Guo, X Qiu, P Liu, Y Shao, X Xue, Z Zhang NAACL 2019, 2019	328	2019
Heterogeneous Graph Neural Networks for Extractive Document Summarization D Wang, P Liu, Y Zheng, X Qiu, X Huang ACL 2020, 2020	316	2020
GPTScore: Evaluate as You Desire J Fu, SK Ng, Z Jiang, P Liu arXiv preprint arXiv:2302.04166, 2023	279	2023
GSum: A General Framework for Guided Neural Abstractive Summarization ZY Dou, P Liu, H Hayashi, Z Jiang, G Neubig NAACL 2021, 2021	237	2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization Y Liu, P Liu ACL 2021, 2021	236	2021
BRIO: Bringing Order to Abstractive Summarization Y Liu, P Liu, D Radev, G Neubig ACL 2022, 2022	233	2022
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	214	2015
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	179	2019
Re-evaluating Evaluation in Text Summarization M Bhandari, P Gour, A Ashfaq, P Liu, G Neubig EMNLP 2020, 2020	166	2020
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	148	2021
Learning Sparse Sharing Architectures for Multiple Tasks T Sun, Y Shao, X Li, P Liu, H Yan, X Qiu, X Huang AAAI 2020, 2019	142	2019
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	141	2022

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors