Pengfei Liu

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Huang Xuanjing (黄萱菁)Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Xipeng Qiu（邱锡鹏）Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Graham NeubigCarnegie Mellon University, Inspired CognitionVerified email at cs.cmu.edu
Jinlan FuNational University of SingaporeVerified email at nus.edu.sg
Weizhe YuanNew York UniversityVerified email at nyu.edu
Danqing WangUniversity of California, Santa BarbaraVerified email at ucsb.edu
Ming ZhongUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Zhengbao JiangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Yixin LiuYale UniversityVerified email at yale.edu
Hiroaki HayashiSalesforce ResearchVerified email at salesforce.com
Qi Zhang (张奇)Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Zi-Yi DouUniversity of California, Los AngelesVerified email at cs.ucla.edu
Yiran ChenFudan UniversityVerified email at fudan.edu.cn
Xinchi ChenApplied Scientist at Amazon, Santa Clara, CA, USAVerified email at amazon.com
Jifan ChenPh.D. Student at University of Texas at AustinVerified email at cs.utexas.edu
Yunfan ShaoFudan UniversityVerified email at fudan.edu.cn
Xiangyang XueProfessor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Zheng ZhangProfessor of Computer Science and Engineering, NYU ShanghaiVerified email at nyu.edu
Qipeng GuoFudan UniversityVerified email at fudan.edu.cn
Shuaichen ChangThe Ohio State UniversityVerified email at osu.edu

Pengfei Liu

Carnegie Mellon 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
Recurrent Neural Network for Text Classification with Multi-Task Learning P Liu, X Qiu, X Huang IJCAI 2016, 2016	1475	2016
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	1123	2022
Adversarial Multi-task Learning for Text Classification P Liu, X Qiu, X Huang ACL 2017, 2017	624	2017
Extractive Summarization as Text Matching M Zhong, P Liu, Y Chen, D Wang, X Qiu, X Huang ACL 2020, 2020	330	2020
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	312	2015
Star-Transformer Q Guo, X Qiu, P Liu, Y Shao, X Xue, Z Zhang NAACL 2019, 2019	246	2019
Heterogeneous Graph Neural Networks for Extractive Document Summarization D Wang, P Liu, Y Zheng, X Qiu, X Huang ACL 2020, 2020	221	2020
BARTScore: Evaluating Generated Text as Text Generation W Yuan, G Neubig, P Liu NeurIPS, https://arxiv.org/pdf/2106.11520.pdf, 2021	206	2021
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	176	2015
GSum: A General Framework for Guided Neural Abstractive Summarization ZY Dou, P Liu, H Hayashi, Z Jiang, G Neubig NAACL 2021, 2021	144	2021
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	140	2019
Learning context-sensitive word embeddings with neural tensor skip-gram model P Liu, X Qiu, X Huang Proceedings of the IJCAI 2015, 2015	120	2015
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization Y Liu, P Liu ACL 2021, 2021	107	2021
Re-evaluating Evaluation in Text Summarization M Bhandari, P Gour, A Ashfaq, P Liu, G Neubig EMNLP 2020, 2020	98	2020
Deep Multi-Task Learning with Shared Memory P Liu, X Qiu, X Huang EMNLP 2016, 2016	90	2016
Meta multi-task learning for sequence modeling J Chen, X Qiu, P Liu, X Huang Thirty-Second AAAI Conference on Artificial Intelligence, 2018	89	2018
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network J Chen, Q Zhang, P Liu, X Qiu, X Huang ACL 2016, 2016	89	2016
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation S Ruder, N Constant, J Botha, A Siddhant, O Firat, J Fu, P Liu, J Hu, ... arXiv 2021, https://arxiv.org/pdf/2104.07412.pdf, 2021	84	2021
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	80	2021
Deep Fusion LSTMs for Text Semantic Matching P Liu, X Qiu, J Chen, X Huang Proceedings of ACL 2016, 2016	78	2016

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