FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization

16 May 2022

Papers citing "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization"

31 / 31 papers shown

Title
Neuro-Symbolic AI in 2024: A Systematic Review Brandon C. Colelough William Regli NAI 135 13 0 09 Jan 2025
Training Dynamics for Text Summarization Models Tanya Goyal Jiacheng Xu Junjie Li Greg Durrett 118 32 0 15 Oct 2021
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization Shuyang Cao Lu Wang HILM 64 181 0 19 Sep 2021
TruthfulQA: Measuring How Models Mimic Human Falsehoods Stephanie C. Lin Jacob Hilton Owain Evans HILM 149 1,938 0 08 Sep 2021
Datasets: A Community Library for Natural Language Processing Quentin Lhoest Albert Villanova del Moral Yacine Jernite A. Thakur Patrick von Platen ... Thibault Goehringer Victor Mustar François Lagunas Alexander M. Rush Thomas Wolf 218 614 0 07 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 54 65 0 31 Aug 2021
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models Robert L Logan IV Ivana Balavzević Eric Wallace Fabio Petroni Sameer Singh Sebastian Riedel VPVLM 92 211 0 24 Jun 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization Yixin Liu Peng Liu AILaw 71 261 0 03 Jun 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 278 311 0 27 Apr 2021
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection Sihao Chen Fan Zhang Kazoo Sone Dan Roth HILM 85 107 0 19 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization Tanya Goyal Greg Durrett HILM 67 154 0 09 Apr 2021
QuestEval: Summarization Asks for Fact-based Evaluation Thomas Scialom Paul-Alexis Dray Patrick Gallinari Sylvain Lamprier Benjamin Piwowarski Jacopo Staiano Alex Jinpeng Wang HILM 64 276 0 23 Mar 2021
Entity-level Factual Consistency of Abstractive Text Summarization Feng Nan Ramesh Nallapati Zhiguo Wang Cicero Nogueira dos Santos Henghui Zhu Dejiao Zhang Kathleen McKeown Bing Xiang HILM 185 162 0 18 Feb 2021
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee Dong Bok Lee Sung Ju Hwang 79 109 0 14 Dec 2020
Multi-Fact Correction in Abstractive Text Summarization Yue Dong Shuohang Wang Zhe Gan Yu Cheng Jackie C.K. Cheung Jingjing Liu KELM HILM 89 119 0 06 Oct 2020
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization Esin Durmus He He Mona T. Diab HILM 93 396 0 07 May 2020
On Faithfulness and Factuality in Abstractive Summarization Joshua Maynez Shashi Narayan Bernd Bohnet Ryan T. McDonald HILM 86 1,039 0 02 May 2020
Improved Natural Language Generation via Loss Truncation Daniel Kang Tatsunori Hashimoto 67 97 0 30 Apr 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Jinpeng Wang Kyunghyun Cho M. Lewis HILM 86 482 0 08 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 378 18,866 0 13 Feb 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang Yao-Min Zhao Mohammad Saleh Peter J. Liu RALM 3DGS 292 2,051 0 18 Dec 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 264 10,851 0 29 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 115 746 0 28 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 477 20,317 0 23 Oct 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,301 0 27 Aug 2019
Neural Text Summarization: A Critical Evaluation Wojciech Kry'sciñski N. Keskar Bryan McCann Caiming Xiong R. Socher 81 367 0 23 Aug 2019
WikiHow: A Large Scale Text Summarization Dataset Mahnaz Koupaee William Yang Wang 59 294 0 18 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization Shashi Narayan Shay B. Cohen Mirella Lapata AILaw 146 1,683 0 27 Aug 2018
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates Taku Kudo 226 1,173 0 29 Apr 2018
A Neural Attention Model for Abstractive Sentence Summarization Alexander M. Rush S. Chopra Jason Weston CVBM 186 2,702 0 02 Sep 2015