Pengfei Liu 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	13390	12706
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i10 指数	65	64

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

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Pengfei Liu

Associate professor at Shanghai Jiao Tong University

在 andrew.cmu.edu 的电子邮件经过验证 - 首页

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


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	3608	2022
Recurrent Neural Network for Text Classification with Multi-Task Learning P Liu, X Qiu, X Huang IJCAI 2016, 2016	1854	2016
Adversarial Multi-task Learning for Text Classification P Liu, X Qiu, X Huang ACL 2017, 2017	730	2017
BARTScore: Evaluating Generated Text as Text Generation W Yuan, G Neubig, P Liu NeurIPS, https://arxiv.org/pdf/2106.11520.pdf, 2021	600	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	510	2023
Extractive Summarization as Text Matching M Zhong, P Liu, Y Chen, D Wang, X Qiu, X Huang ACL 2020, 2020	499	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	457	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	325	2019
Heterogeneous Graph Neural Networks for Extractive Document Summarization D Wang, P Liu, Y Zheng, X Qiu, X Huang ACL 2020, 2020	313	2020
GPTScore: Evaluate as You Desire J Fu, SK Ng, Z Jiang, P Liu arXiv preprint arXiv:2302.04166, 2023	266	2023
GSum: A General Framework for Guided Neural Abstractive Summarization ZY Dou, P Liu, H Hayashi, Z Jiang, G Neubig NAACL 2021, 2021	236	2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization Y Liu, P Liu ACL 2021, 2021	234	2021
BRIO: Bringing Order to Abstractive Summarization Y Liu, P Liu, D Radev, G Neubig ACL 2022, 2022	227	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	213	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	163	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	147	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	138	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	136	2022

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