Improving abstractive summarization with energy-based re-ranking

27 October 2022

Papers citing "Improving abstractive summarization with energy-based re-ranking"

33 / 33 papers shown

Title
Quality-Aware Decoding for Neural Machine Translation Patrick Fernandes António Farinhas Ricardo Rei José G. C. de Souza Perez Ogayo Graham Neubig André F. T. Martins 80 56 0 02 May 2022
BRIO: Bringing Order to Abstractive Summarization Yixin Liu Pengfei Liu Dragomir R. Radev Graham Neubig 69 285 0 31 Mar 2022
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization Mathieu Ravaut Shafiq Joty Nancy F. Chen MoE 31 94 0 13 Mar 2022
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning Xiangru Tang Arjun Nair Borui Wang Bingyao Wang Jai Desai Aaron Wade Haoran Li Asli Celikyilmaz Yashar Mehdad Dragomir R. Radev HILM 36 63 0 16 Dec 2021
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs B. Eikema Germán Kruszewski Hady ElSahar Marc Dymetman 52 3 0 10 Dec 2021
CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization Wei Liu Huanqin Wu Wenjing Mu Zhen Li Tao Chen Dan Nie HILM 34 17 0 02 Dec 2021
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization Shuyang Cao Lu Wang HILM 53 181 0 19 Sep 2021
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation Mingkai Deng Bowen Tan Zhengzhong Liu Eric Xing Zhiting Hu 35 73 0 14 Sep 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization Yixin Liu Peng Liu AILaw 61 259 0 03 Jun 2021
Focus Attention: Promoting Faithfulness and Diversity in Summarization Rahul Aralikatte Shashi Narayan Joshua Maynez S. Rothe Ryan T. McDonald 75 45 0 25 May 2021
Annotating and Modeling Fine-grained Factuality in Summarization Tanya Goyal Greg Durrett HILM 48 154 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 48 274 0 23 Mar 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 64 256 0 09 Jan 2021
Reducing Quantity Hallucinations in Abstractive Summarization Zheng Zhao Shay B. Cohen Bonnie Webber HILM 52 38 0 28 Sep 2020
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models Sumanta Bhattacharyya Pedram Rooshenas Subhajit Naskar Simeng Sun Mohit Iyyer Andrew McCallum 50 59 0 20 Sep 2020
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization Esin Durmus He He Mona T. Diab HILM 83 392 0 07 May 2020
On Faithfulness and Factuality in Abstractive Summarization Joshua Maynez Shashi Narayan Bernd Bohnet Ryan T. McDonald HILM 77 1,031 0 02 May 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Jinpeng Wang Kyunghyun Cho M. Lewis HILM 77 480 0 08 Apr 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang Yao-Min Zhao Mohammad Saleh Peter J. Liu RALM 3DGS 256 2,044 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 221 10,792 0 29 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 101 742 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 379 20,053 0 23 Oct 2019
Towards Neural Language Evaluators Hassan Kané Muhammed Yusuf Kocyigit Pelkins Ajanoh Ali Abdalla Mohamed Coulibali ELM 42 6 0 20 Sep 2019
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization Siyao Li Deren Lei Pengda Qin William Yang Wang 36 43 0 31 Aug 2019
Neural Text Summarization: A Critical Evaluation Wojciech Kry'sciñski N. Keskar Bryan McCann Caiming Xiong R. Socher 74 365 0 23 Aug 2019
Facebook FAIR's WMT19 News Translation Task Submission Nathan Ng Kyra Yee Alexei Baevski Myle Ott Michael Auli Sergey Edunov VLM 58 396 0 15 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,511 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 117 1,671 0 27 Aug 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 649 130,942 0 12 Jun 2017
A Deep Reinforced Model for Abstractive Summarization Romain Paulus Caiming Xiong R. Socher AI4TS 189 1,556 0 11 May 2017
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models Ashwin K. Vijayakumar Michael Cogswell Ramprasaath R. Selvaraju Q. Sun Stefan Lee David J. Crandall Dhruv Batra 89 554 0 07 Oct 2016
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 331 3,547 0 10 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014