BRIO: Bringing Order to Abstractive Summarization

31 March 2022

Graham Neubig

Papers citing "BRIO: Bringing Order to Abstractive Summarization"

50 / 56 papers shown

Title
Sequence-level Large Language Model Training with Contrastive Preference Optimization Zhili Feng Dhananjay Ram Cole Hawkins Aditya Rawal Jinman Zhao Sheng Zha 97 1 0 23 Feb 2025
Learning to Substitute Words with Model-based Score Ranking Hongye Liu Ricardo Henao 156 0 0 09 Feb 2025
Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance Borui Xu Yao Chen Zeyi Wen Weiguo Liu Bingsheng He 164 2 0 02 Feb 2025
Fact-Preserved Personalized News Headline Generation Zhao Yang Junhong Lian Xiang Ao 467 1 0 21 Jan 2025
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment Yilong Lai Jialong Wu Congzhi Zhang Haowen Sun Deyu Zhou 105 4 0 02 Jul 2024
ITERTL: An Iterative Framework for Fine-tuning LLMs for RTL Code Generation Peiyang Wu Nan Guo Xiao Xiao Wenming Li Mingyu Yan Xiaochun Ye 102 2 0 28 Jun 2024
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization Shuyang Cao Lu Wang HILM 64 181 0 19 Sep 2021
Sequence Level Contrastive Learning for Text Summarization Shusheng Xu Xingxing Zhang Yi Wu Furu Wei 71 97 0 08 Sep 2021
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization Shichao Sun Wenjie Li 43 26 0 26 Aug 2021
BARTScore: Evaluating Generated Text as Text Generation Weizhe Yuan Graham Neubig Pengfei Liu 123 849 0 22 Jun 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization Yixin Liu Peng Liu AILaw 74 261 0 03 Jun 2021
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation Xiao Pan Mingxuan Wang Liwei Wu Lei Li 88 206 0 20 May 2021
RefSum: Refactoring Neural Summarization Yixin Liu Zi-Yi Dou Pengfei Liu 57 40 0 15 Apr 2021
ExplainaBoard: An Explainable Leaderboard for NLP Pengfei Liu Jinlan Fu Yanghua Xiao Weizhe Yuan Shuaichen Chang Junqi Dai Yixin Liu Zihuiwen Ye Zi-Yi Dou Graham Neubig XAI LRM ELM 69 55 0 13 Apr 2021
Few-Shot Text Generation with Pattern-Exploiting Training Timo Schick Hinrich Schütze 93 147 0 22 Dec 2020
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee Dong Bok Lee Sung Ju Hwang 85 109 0 14 Dec 2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri Simeng Han Haoyuan Li Haoran Li Marjan Ghazvininejad Shafiq Joty Dragomir R. Radev Yashar Mehdad 195 97 0 24 Oct 2020
GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou Pengfei Liu Hiroaki Hayashi Zhengbao Jiang Graham Neubig 63 259 0 15 Oct 2020
Text Generation by Learning from Demonstrations Richard Yuanzhe Pang He He OffRL 60 80 0 16 Sep 2020
On the Inference Calibration of Neural Machine Translation Shuo Wang Zhaopeng Tu Shuming Shi Yang Liu 92 82 0 03 May 2020
Simulated Multiple Reference Training Improves Low-Resource Machine Translation Huda Khayrallah Brian Thompson Matt Post Philipp Koehn 124 38 0 30 Apr 2020
Extractive Summarization as Text Matching Ming Zhong Pengfei Liu Yiran Chen Danqing Wang Xipeng Qiu Xuanjing Huang 143 462 0 19 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 387 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 297 2,051 0 18 Dec 2019
Contrastive Multi-document Question Generation W. Cho Yizhe Zhang Sudha Rao Asli Celikyilmaz Chenyan Xiong Jianfeng Gao Mengdi Wang Bill Dolan SyDa 82 28 0 08 Nov 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
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 485 20,317 0 23 Oct 2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity John Wieting Taylor Berg-Kirkpatrick Kevin Gimpel Graham Neubig AAML 82 167 0 14 Sep 2019
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization Siyao Li Deren Lei Pengda Qin William Yang Wang 51 43 0 31 Aug 2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue? Felix Stahlberg Bill Byrne LRM 87 154 0 27 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 680 24,541 0 26 Jul 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 207 1,953 0 06 Jun 2019
Bridging the Gap between Training and Inference for Neural Machine Translation Wen Zhang Yang Feng Fandong Meng Di You Qun Liu AIMat 73 242 0 06 Jun 2019
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 352 5,860 0 21 Apr 2019
Calibration of Encoder Decoder Models for Neural Machine Translation Aviral Kumar Sunita Sarawagi 188 100 0 03 Mar 2019
Content Selection in Deep Learning Models of Summarization Chris Kedzie Kathleen McKeown Hal Daumé BDL MedIm 127 148 0 29 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
Classical Structured Prediction Losses for Sequence to Sequence Learning Sergey Edunov Myle Ott Michael Auli David Grangier MarcÁurelio Ranzato AIMat 115 186 0 14 Nov 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,862 0 14 Jun 2017
A Deep Reinforced Model for Abstractive Summarization Romain Paulus Caiming Xiong R. Socher AI4TS 206 1,559 0 11 May 2017
Reward Augmented Maximum Likelihood for Neural Structured Prediction Mohammad Norouzi Samy Bengio Zhiwen Chen Navdeep Jaitly M. Schuster Yonghui Wu Dale Schuurmans 92 253 0 01 Sep 2016
An Actor-Critic Algorithm for Sequence Prediction Dzmitry Bahdanau Philemon Brakel Kelvin Xu Anirudh Goyal Ryan J. Lowe Joelle Pineau Aaron Courville Yoshua Bengio 133 639 0 24 Jul 2016
Sequence-to-Sequence Learning as Beam-Search Optimization Sam Wiseman Alexander M. Rush 136 594 0 09 Jun 2016
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 285 1,339 0 05 Jun 2016
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond Ramesh Nallapati Bowen Zhou Cicero Nogueira dos Santos Çağlar Gülçehre Bing Xiang AIMat 281 2,566 0 19 Feb 2016
Minimum Risk Training for Neural Machine Translation Shiqi Shen Yong Cheng Zhongjun He W. He Hua Wu Maosong Sun Yang Liu 130 469 0 08 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
Sequence Level Training with Recurrent Neural Networks MarcÁurelio Ranzato S. Chopra Michael Auli Wojciech Zaremba 106 1,620 0 20 Nov 2015
A Neural Attention Model for Abstractive Sentence Summarization Alexander M. Rush S. Chopra Jason Weston CVBM 186 2,702 0 02 Sep 2015