ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.09209
  4. Cited By
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in
  Abstractive Summarization

CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization

19 September 2021
Shuyang Cao
Lu Wang
    HILM
ArXivPDFHTML

Papers citing "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"

38 / 38 papers shown
Title
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
Song Duong
Florian Le Bronnec
Alexandre Allauzen
Vincent Guigue
Alberto Lumbreras
Laure Soulier
Patrick Gallinari
HILM
50
0
0
20 Feb 2025
Can Your Uncertainty Scores Detect Hallucinated Entity?
Can Your Uncertainty Scores Detect Hallucinated Entity?
Min-Hsuan Yeh
Max Kamachee
Seongheon Park
Yixuan Li
HILM
55
1
0
17 Feb 2025
Fact-Preserved Personalized News Headline Generation
Fact-Preserved Personalized News Headline Generation
Zhao Yang
Junhong Lian
Xiang Ao
95
1
0
21 Jan 2025
Leveraging Entailment Judgements in Cross-Lingual Summarisation
Leveraging Entailment Judgements in Cross-Lingual Summarisation
Huajian Zhang
Laura Perez-Beltrachini
HILM
41
0
0
01 Aug 2024
Factual Dialogue Summarization via Learning from Large Language Models
Factual Dialogue Summarization via Learning from Large Language Models
Rongxin Zhu
Jey Han Lau
Jianzhong Qi
HILM
52
1
0
20 Jun 2024
Fine-Grained Natural Language Inference Based Faithfulness Evaluation
  for Diverse Summarisation Tasks
Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks
Huajian Zhang
Yumo Xu
Laura Perez-Beltrachini
HILM
32
9
0
27 Feb 2024
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization
Joseph Peper
Wenzhao Qiu
Lu Wang
23
0
0
16 Nov 2023
Fidelity-Enriched Contrastive Search: Reconciling the
  Faithfulness-Diversity Trade-Off in Text Generation
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation
Wei-Lin Chen
Cheng-Kuang Wu
Hsin-Hsi Chen
Chung-Chi Chen
HILM
26
6
0
23 Oct 2023
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
37
4
0
20 Oct 2023
Calibrating Likelihoods towards Consistency in Summarization Models
Calibrating Likelihoods towards Consistency in Summarization Models
Polina Zablotskaia
Misha Khalman
Rishabh Joshi
Livio Baldini Soares
Shoshana Jakobovits
Joshua Maynez
Shashi Narayan
31
3
0
12 Oct 2023
Improving Summarization with Human Edits
Improving Summarization with Human Edits
Zonghai Yao
Benjamin J Schloss
Sai P. Selvaraj
26
3
0
09 Oct 2023
Annotating and Detecting Fine-grained Factual Errors for Dialogue
  Summarization
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization
Rongxin Zhu
Jianzhong Qi
Jey Han Lau
42
9
0
26 May 2023
Evaluating Factual Consistency of Summaries with Large Language Models
Evaluating Factual Consistency of Summaries with Large Language Models
Shiqi Chen
Siyang Gao
Junxian He
ELM
LRM
HILM
35
6
0
23 May 2023
Revisiting the Architectures like Pointer Networks to Efficiently
  Improve the Next Word Distribution, Summarization Factuality, and Beyond
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond
Haw-Shiuan Chang
Zonghai Yao
Alolika Gon
Hong-ye Yu
Andrew McCallum
43
10
0
20 May 2023
Counterfactual Debiasing for Generating Factually Consistent Text
  Summaries
Counterfactual Debiasing for Generating Factually Consistent Text Summaries
Chenhe Dong
Yuexiang Xie
Yaliang Li
Ying Shen
CML
HILM
29
0
0
18 May 2023
Zero-shot Faithful Factual Error Correction
Zero-shot Faithful Factual Error Correction
Kung-Hsiang Huang
Hou Pong Chan
Heng Ji
KELM
HILM
26
30
0
13 May 2023
What are the Desired Characteristics of Calibration Sets? Identifying
  Correlates on Long Form Scientific Summarization
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
Griffin Adams
Bichlien H. Nguyen
Jake A. Smith
Yingce Xia
Shufang Xie
Anna Ostropolets
Budhaditya Deb
Yuan Chen
Tristan Naumann
Noémie Elhadad
30
8
0
12 May 2023
Contrastive Learning Reduces Hallucination in Conversations
Contrastive Learning Reduces Hallucination in Conversations
Weiwei Sun
Zhengliang Shi
Shen Gao
Pengjie Ren
Maarten de Rijke
Z. Ren
42
62
0
20 Dec 2022
On Improving Summarization Factual Consistency from Natural Language
  Feedback
On Improving Summarization Factual Consistency from Natural Language Feedback
Yixin Liu
Budhaditya Deb
Milagro Teruel
Aaron L Halfaker
Dragomir R. Radev
Ahmed Hassan Awadallah
HILM
29
35
0
20 Dec 2022
Evaluating Human-Language Model Interaction
Evaluating Human-Language Model Interaction
Mina Lee
Megha Srivastava
Amelia Hardy
John Thickstun
Esin Durmus
...
Hancheng Cao
Tony Lee
Rishi Bommasani
Michael S. Bernstein
Percy Liang
LM&MA
ALM
58
99
0
19 Dec 2022
Revisiting the Gold Standard: Grounding Summarization Evaluation with
  Robust Human Evaluation
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
Yixin Liu
Alexander R. Fabbri
Pengfei Liu
Yilun Zhao
Linyong Nan
...
Simeng Han
Chenyu You
Chien-Sheng Wu
Caiming Xiong
Dragomir R. Radev
ALM
24
132
0
15 Dec 2022
Adaptive Contrastive Learning on Multimodal Transformer for Review
  Helpfulness Predictions
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions
Thong Nguyen
Xiaobao Wu
A. Luu
Cong-Duy Nguyen
Zhen Hai
Lidong Bing
34
13
0
07 Nov 2022
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual
  Robustness
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness
Wenhao Wu
Wei Li
Jiachen Liu
Xinyan Xiao
Ziqiang Cao
Sujian Li
Hua Wu
HILM
32
10
0
01 Nov 2022
Evaluating Parameter Efficient Learning for Generation
Evaluating Parameter Efficient Learning for Generation
Peng Xu
M. Patwary
Shrimai Prabhumoye
Virginia Adams
R. Prenger
Ming-Yu Liu
Nayeon Lee
M. Shoeybi
Bryan Catanzaro
MoE
33
3
0
25 Oct 2022
Precisely the Point: Adversarial Augmentations for Faithful and
  Informative Text Generation
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
Wenhao Wu
Wei Li
Jiachen Liu
Xinyan Xiao
Sujian Li
Yajuan Lyu
39
3
0
22 Oct 2022
Analyzing and Evaluating Faithfulness in Dialogue Summarization
Analyzing and Evaluating Faithfulness in Dialogue Summarization
Bin Wang
Chen Zhang
Yan Zhang
Yiming Chen
Haizhou Li
HILM
41
14
0
21 Oct 2022
Summary Workbench: Unifying Application and Evaluation of Text
  Summarization Models
Summary Workbench: Unifying Application and Evaluation of Text Summarization Models
S. Syed
Dominik Schwabe
Martin Potthast
22
0
0
18 Oct 2022
Near-Negative Distinction: Giving a Second Life to Human Evaluation
  Datasets
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets
Philippe Laban
Chien-Sheng Wu
Wenhao Liu
Caiming Xiong
41
5
0
13 May 2022
Probing Factually Grounded Content Transfer with Factual Ablation
Probing Factually Grounded Content Transfer with Factual Ablation
Peter West
Chris Quirk
Michel Galley
Yejin Choi
HILM
30
9
0
18 Mar 2022
Semi-supervised New Event Type Induction and Description via Contrastive
  Loss-Enforced Batch Attention
Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention
Carl Edwards
Heng Ji
30
9
0
12 Feb 2022
Survey of Hallucination in Natural Language Generation
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
58
2,243
0
08 Feb 2022
Understanding Factuality in Abstractive Summarization with FRANK: A
  Benchmark for Factuality Metrics
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
Artidoro Pagnoni
Vidhisha Balachandran
Yulia Tsvetkov
HILM
231
305
0
27 Apr 2021
A Token-level Reference-free Hallucination Detection Benchmark for
  Free-form Text Generation
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Tianyu Liu
Yizhe Zhang
Chris Brockett
Yi Mao
Zhifang Sui
Weizhu Chen
W. Dolan
HILM
228
143
0
18 Apr 2021
Entity-level Factual Consistency of Abstractive Text Summarization
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
144
157
0
18 Feb 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization
GO FIGURE: A Meta Evaluation of Factuality in Summarization
Saadia Gabriel
Asli Celikyilmaz
Rahul Jha
Yejin Choi
Jianfeng Gao
HILM
238
96
0
24 Oct 2020
Factual Error Correction for Abstractive Summarization Models
Factual Error Correction for Abstractive Summarization Models
Mengyao Cao
Yue Dong
Jiapeng Wu
Jackie C.K. Cheung
HILM
KELM
169
159
0
17 Oct 2020
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
213
1,654
0
16 Mar 2020
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,432
0
22 Aug 2019
1