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Alleviating Exposure Bias via Contrastive Learning for Abstractive Text
  Summarization

Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization

26 August 2021
Shichao Sun
Wenjie Li
ArXivPDFHTML

Papers citing "Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization"

14 / 14 papers shown
Title
A Systematic Survey of Text Summarization: From Statistical Methods to
  Large Language Models
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
Haopeng Zhang
Philip S. Yu
Jiawei Zhang
35
16
0
17 Jun 2024
Mitigating Unhelpfulness in Emotional Support Conversations with
  Multifaceted AI Feedback
Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback
Jiashuo Wang
Chunpu Xu
Chak Tou Leong
Wenjie Li
Jing Li
21
1
0
11 Jan 2024
Large-Scale and Multi-Perspective Opinion Summarization with Diverse
  Review Subsets
Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets
Han Jiang
Rui Wang
Zhihua Wei
Yu Li
Xinpeng Wang
33
4
0
20 Oct 2023
Aligning Language Models with Human Preferences via a Bayesian Approach
Aligning Language Models with Human Preferences via a Bayesian Approach
Jiashuo Wang
Haozhao Wang
Shichao Sun
Wenjie Li
ALM
32
12
0
09 Oct 2023
On Learning to Summarize with Large Language Models as References
On Learning to Summarize with Large Language Models as References
Yixin Liu
Kejian Shi
Katherine S He
Longtian Ye
Alexander R. Fabbri
Pengfei Liu
Dragomir R. Radev
Arman Cohan
ELM
18
69
0
23 May 2023
On Uncertainty Calibration and Selective Generation in Probabilistic
  Neural Summarization: A Benchmark Study
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Polina Zablotskaia
Du Phan
Joshua Maynez
Shashi Narayan
Jie Jessie Ren
J. Liu
UQLM
UQCV
20
18
0
17 Apr 2023
FactReranker: Fact-guided Reranker for Faithful Radiology Report
  Summarization
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization
Qianqian Xie
Jiayu Zhou
Yifan Peng
Fei Wang
HILM
MedIm
34
10
0
15 Mar 2023
Towards Summary Candidates Fusion
Towards Summary Candidates Fusion
Mathieu Ravaut
Shafiq R. Joty
Nancy F. Chen
24
14
0
17 Oct 2022
Calibrating Sequence likelihood Improves Conditional Language Generation
Calibrating Sequence likelihood Improves Conditional Language Generation
Yao-Min Zhao
Misha Khalman
Rishabh Joshi
Shashi Narayan
Mohammad Saleh
Peter J. Liu
UQLM
26
118
0
30 Sep 2022
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage
  Summarization
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization
Chen An
Ming Zhong
Zhiyong Wu
Qinen Zhu
Xuanjing Huang
Xipeng Qiu
23
22
0
29 Sep 2022
R2D2: Robust Data-to-Text with Replacement Detection
R2D2: Robust Data-to-Text with Replacement Detection
Linyong Nan
Lorenzo Jaime Yu Flores
Yilun Zhao
Yixin Liu
Luke Benson
Weijin Zou
Dragomir R. Radev
37
17
0
25 May 2022
BRIO: Bringing Order to Abstractive Summarization
BRIO: Bringing Order to Abstractive Summarization
Yixin Liu
Pengfei Liu
Dragomir R. Radev
Graham Neubig
13
275
0
31 Mar 2022
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for
  Abstractive Summarization
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization
Mathieu Ravaut
Shafiq R. Joty
Nancy F. Chen
MoE
10
91
0
13 Mar 2022
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
254
1,431
0
22 Aug 2019
1