Pengfei Liu

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Xipeng Qiu（邱锡鹏）Professor of Computer Science, Fudan UniversityPatvirtintas el. paštas fudan.edu.cn
Huang Xuanjing (黄萱菁)Professor of Computer Science, Fudan UniversityPatvirtintas el. paštas fudan.edu.cn
Graham NeubigCarnegie Mellon University, All Hands AIPatvirtintas el. paštas cs.cmu.edu
Weizhe YuanNew York UniversityPatvirtintas el. paštas nyu.edu
Yixin LiuYale UniversityPatvirtintas el. paštas yale.edu
Zhengbao JiangCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Ethan ChernCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Danqing WangCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Ming ZhongUniversity of Illinois Urbana-ChampaignPatvirtintas el. paštas illinois.edu
Hiroaki HayashiSalesforce ResearchPatvirtintas el. paštas salesforce.com
Chunting ZhouFacebook AI ResearchPatvirtintas el. paštas meta.com
Xuefeng LiPhD candidate, Shanghai Jiaotong UniversityPatvirtintas el. paštas sjtu.edu.cn
Zheng ZhangProfessor of Computer Science and Engineering, NYU Shanghai; Director, Amazon Shanghai AI LabPatvirtintas el. paštas nyu.edu
Qi Zhang (张奇)Professor of Computer Science, Fudan UniversityPatvirtintas el. paštas fudan.edu.cn
Yuning MaoGenAI, MetaPatvirtintas el. paštas fb.com
Qipeng GuoFudan UniversityPatvirtintas el. paštas fudan.edu.cn
Steffi ChernCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Zi-Yi DouUniversity of California, Los AngelesPatvirtintas el. paštas cs.ucla.edu
Yiran ChenFudan UniversityPatvirtintas el. paštas fudan.edu.cn
Shichao SunAmazon Web ServicesPatvirtintas el. paštas amazon.com

Stebėti

Pengfei Liu

Associate professor at Shanghai Jiao Tong University

Patvirtintas el. paštas andrew.cmu.edu - Pagrindinis puslapis

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


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	5072	2022
Recurrent Neural Network for Text Classification with Multi-Task Learning P Liu, X Qiu, X Huang IJCAI 2016, 2016	2041	2016
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	978	2023
BARTScore: Evaluating Generated Text as Text Generation W Yuan, G Neubig, P Liu NeurIPS, https://arxiv.org/pdf/2106.11520.pdf, 2021	803	2021
Adversarial Multi-task Learning for Text Classification P Liu, X Qiu, X Huang ACL 2017, 2017	780	2017
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	759	2022
Extractive Summarization as Text Matching M Zhong, P Liu, Y Chen, D Wang, X Qiu, X Huang ACL 2020, 2020	572	2020
GPTScore: Evaluate as You Desire J Fu, SK Ng, Z Jiang, P Liu arXiv preprint arXiv:2302.04166, 2023	475	2023
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	358	2015
Star-Transformer Q Guo, X Qiu, P Liu, Y Shao, X Xue, Z Zhang NAACL 2019, 2019	352	2019
Heterogeneous Graph Neural Networks for Extractive Document Summarization D Wang, P Liu, Y Zheng, X Qiu, X Huang ACL 2020, 2020	350	2020
BRIO: Bringing Order to Abstractive Summarization Y Liu, P Liu, D Radev, G Neubig ACL 2022, 2022	315	2022
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization Y Liu, P Liu ACL 2021, 2021	284	2021
GSum: A General Framework for Guided Neural Abstractive Summarization ZY Dou, P Liu, H Hayashi, Z Jiang, G Neubig NAACL 2021, 2021	270	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	226	2015
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	222	2022
Re-evaluating Evaluation in Text Summarization M Bhandari, P Gour, A Ashfaq, P Liu, G Neubig EMNLP 2020, 2020	203	2020
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	198	2019
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	169	2021
FacTool: Factuality Detection in Generative AI--A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios I Chern, S Chern, S Chen, W Yuan, K Feng, C Zhou, J He, G Neubig, ... arXiv preprint arXiv:2307.13528, 2023	168	2023

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