Improving Faithfulness in Abstractive Summarization with Contrast
Candidate Generation and Selection

Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection

19 April 2021

Papers citing "Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection"

17 / 67 papers shown

Title
Factual Error Correction for Abstractive Summaries Using Entity Retrieval Hwanhee Lee Cheoneum Park Seunghyun Yoon Trung Bui Franck Dernoncourt Juae Kim Kyomin Jung KELM 12 12 0 18 Apr 2022
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters Tal Schuster Sihao Chen S. Buthpitiya Alex Fabrikant Donald Metzler 13 41 0 15 Apr 2022
Learning to Revise References for Faithful Summarization Griffin Adams Han-Chin Shing Q. Sun C. Winestock Kathleen McKeown Noémie Elhadad 11 32 0 13 Apr 2022
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization Moussa Kamal Eddine Nadi Tomeh Nizar Habash Joseph Le Roux Michalis Vazirgiannis 15 44 0 21 Mar 2022
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods Wei Li Wenhao Wu Moye Chen Jiachen Liu Xinyan Xiao Hua-Hong Wu HILM 19 27 0 10 Mar 2022
Survey of Hallucination in Natural Language Generation Ziwei Ji Nayeon Lee Rita Frieske Tiezheng Yu D. Su ... Delong Chen Wenliang Dai Ho Shu Chan Andrea Madotto Pascale Fung HILM LRM 36 2,230 0 08 Feb 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization Wei Liu Huanqin Wu Wenjing Mu Zhen Li Tao Chen Dan Nie HILM 6 17 0 02 Dec 2021
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization Prafulla Kumar Choubey Alexander R. Fabbri Jesse Vig Chien-Sheng Wu Wenhao Liu Nazneen Rajani HILM 14 16 0 14 Oct 2021
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization Shuyang Cao Lu Wang HILM 19 174 0 19 Sep 2021
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization Faisal Ladhak Esin Durmus He He Claire Cardie Kathleen McKeown 12 64 0 31 Aug 2021
Improving Factual Consistency of Abstractive Summarization via Question Answering Feng Nan Cicero Nogueira dos Santos Henghui Zhu Patrick K. L. Ng Kathleen McKeown Ramesh Nallapati Dejiao Zhang Zhiguo Wang Andrew O. Arnold Bing Xiang HILM 6 82 0 10 May 2021
Toward Improving Coherence and Diversity of Slogan Generation Yiping Jin Akshay Bhatia Dittaya Wanvarie Phu T. V. Le 11 5 0 11 Feb 2021
Understanding the Extent to which Summarization Evaluation Metrics Measure the Information Quality of Summaries Daniel Deutsch Dan Roth 46 7 0 23 Oct 2020
Factual Error Correction for Abstractive Summarization Models Mengyao Cao Yue Dong Jiapeng Wu Jackie C.K. Cheung HILM KELM 167 159 0 17 Oct 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages Peng Qi Yuhao Zhang Yuhui Zhang Jason Bolton Christopher D. Manning AI4TS 199 1,652 0 16 Mar 2020
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 254 1,428 0 22 Aug 2019