On Faithfulness and Factuality in Abstractive Summarization

2 May 2020

Papers citing "On Faithfulness and Factuality in Abstractive Summarization"

7 / 257 papers shown

Title
Learning to summarize from human feedback Nisan Stiennon Long Ouyang Jeff Wu Daniel M. Ziegler Ryan J. Lowe Chelsea Voss Alec Radford Dario Amodei Paul Christiano ALM 65 2,002 0 02 Sep 2020
SummEval: Re-evaluating Summarization Evaluation Alexander R. Fabbri Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher Dragomir R. Radev HILM 38 691 0 24 Jul 2020
Evaluation of Text Generation: A Survey Asli Celikyilmaz Elizabeth Clark Jianfeng Gao ELM LM&MA 21 378 0 26 Jun 2020
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques Kundan Krishna Sopan Khosla Jeffrey P. Bigham Zachary Chase Lipton 25 115 0 04 May 2020
Explaining Relationships Between Scientific Documents Kelvin Luu Xinyi Wu Rik Koncel-Kedziorski Kyle Lo Isabel Cachola Noah A. Smith 41 48 0 02 Feb 2020
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 45 728 0 28 Oct 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016