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Improving Faithfulness in Abstractive Summarization with Contrast
  Candidate Generation and Selection

Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection

19 April 2021
Sihao Chen
Fan Zhang
Kazoo Sone
Dan Roth
    HILM
ArXivPDFHTML

Papers citing "Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection"

50 / 67 papers shown
Title
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task
Xindi Tong
Yujin Zhu
Shijian Fan
Liang Xu
54
1
0
26 Sep 2024
Multilingual Fine-Grained News Headline Hallucination Detection
Multilingual Fine-Grained News Headline Hallucination Detection
Jiaming Shen
Tianqi Liu
Jialu Liu
Zhen Qin
Jay Pavagadhi
Simon Baumgartner
Michael Bendersky
36
0
0
22 Jul 2024
Hallucination Detection: Robustly Discerning Reliable Answers in Large
  Language Models
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
Yuyan Chen
Qiang Fu
Yichen Yuan
Zhihao Wen
Ge Fan
Dayiheng Liu
Dongmei Zhang
Zhixu Li
Yanghua Xiao
HILM
42
68
0
04 Jul 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
46
1
0
20 Jun 2024
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
14
0
17 Jun 2024
On the Benefits of Fine-Grained Loss Truncation: A Case Study on
  Factuality in Summarization
On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization
Lorenzo Jaime Yu Flores
Arman Cohan
HILM
38
2
0
09 Mar 2024
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large
  Language Models
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
Xinran Zhao
Hongming Zhang
Xiaoman Pan
Wenlin Yao
Dong Yu
Tongshuang Wu
Jianshu Chen
HILM
LRM
27
4
0
27 Feb 2024
Successfully Guiding Humans with Imperfect Instructions by Highlighting
  Potential Errors and Suggesting Corrections
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
Lingjun Zhao
Khanh Nguyen
Hal Daumé
23
1
0
26 Feb 2024
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive
  Summarization Models
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models
Jongyoon Song
Nohil Park
Bongkyu Hwang
Jaewoong Yun
Seongho Joe
Youngjune Gwon
Sungroh Yoon
KELM
HILM
24
1
0
23 Feb 2024
Improving Factual Error Correction for Abstractive Summarization via
  Data Distillation and Conditional-generation Cloze
Improving Factual Error Correction for Abstractive Summarization via Data Distillation and Conditional-generation Cloze
Yiyang Li
Lei Li
Dingxing Hu
Xueyi Hao
Marina Litvak
N. Vanetik
Yanquan Zhou
HILM
KELM
15
0
0
13 Feb 2024
AI Hallucinations: A Misnomer Worth Clarifying
AI Hallucinations: A Misnomer Worth Clarifying
Negar Maleki
Balaji Padmanabhan
Kaushik Dutta
28
34
0
09 Jan 2024
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in
  Chart Captioning
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
Kung-Hsiang Huang
Mingyang Zhou
Hou Pong Chan
Yi Ren Fung
Zhenhailong Wang
Lingyu Zhang
Shih-Fu Chang
Heng Ji
19
33
0
15 Dec 2023
Exploiting Representation Bias for Data Distillation in Abstractive Text
  Summarization
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization
Yash Kumar Atri
Vikram Goyal
Tanmoy Chakraborty
11
1
0
10 Dec 2023
Mitigating Fine-Grained Hallucination by Fine-Tuning Large
  Vision-Language Models with Caption Rewrites
Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites
Lei Wang
Jiabang He
Shenshen Li
Ning Liu
Ee-Peng Lim
MLLM
10
38
0
04 Dec 2023
Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded
  Dialogue Generation
Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation
Yixin Wan
Fanyou Wu
Weijie Xu
Srinivasan H. Sengamedu
HILM
24
5
0
28 Oct 2023
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text
  Generation
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation
Mateusz Lango
Ondrej Dusek
12
8
0
25 Oct 2023
Correction with Backtracking Reduces Hallucination in Summarization
Correction with Backtracking Reduces Hallucination in Summarization
Zhenzhen Liu
Chao-gang Wan
Varsha Kishore
Jin Peng Zhou
Minmin Chen
Kilian Q. Weinberger
HILM
26
3
0
24 Oct 2023
Hallucination Detection for Grounded Instruction Generation
Hallucination Detection for Grounded Instruction Generation
Lingjun Zhao
Khanh Nguyen
Hal Daumé
HILM
26
7
0
23 Oct 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
13
6
0
23 Oct 2023
The Trickle-down Impact of Reward (In-)consistency on RLHF
The Trickle-down Impact of Reward (In-)consistency on RLHF
Lingfeng Shen
Sihao Chen
Linfeng Song
Lifeng Jin
Baolin Peng
Haitao Mi
Daniel Khashabi
Dong Yu
18
21
0
28 Sep 2023
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge
  Selection
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection
Hongjin Qian
Zhicheng Dou
Jiejun Tan
Haonan Chen
Haoqi Gu
Ruofei Lai
Xinyu Zhang
Zhao Cao
Ji-Rong Wen
12
2
0
30 Aug 2023
Evaluation of Faithfulness Using the Longest Supported Subsequence
Evaluation of Faithfulness Using the Longest Supported Subsequence
Anirudh Mittal
Timo Schick
Mikel Artetxe
Jane Dwivedi-Yu
ALM
11
0
0
23 Aug 2023
Agreement Tracking for Multi-Issue Negotiation Dialogues
Agreement Tracking for Multi-Issue Negotiation Dialogues
Amogh Mannekote
Bonnie J. Dorr
K. Boyer
36
0
0
13 Jul 2023
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of
  LLMs by Validating Low-Confidence Generation
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation
Neeraj Varshney
Wenlin Yao
Hongming Zhang
Jianshu Chen
Dong Yu
HILM
23
155
0
08 Jul 2023
Challenges in Domain-Specific Abstractive Summarization and How to
  Overcome them
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them
Anum Afzal
Juraj Vladika
Daniel Braun
Florian Matthes
HILM
25
10
0
03 Jul 2023
Reference Matters: Benchmarking Factual Error Correction for Dialogue
  Summarization with Fine-grained Evaluation Framework
Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework
Mingqi Gao
Xiaojun Wan
Jia Su
Zhefeng Wang
Baoxing Huai
HILM
11
7
0
08 Jun 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating
  weights fine-tuned on diverse rewards
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
Alexandre Ramé
Guillaume Couairon
Mustafa Shukor
Corentin Dancette
Jean-Baptiste Gaya
Laure Soulier
Matthieu Cord
MoMe
35
135
0
07 Jun 2023
Exposing Attention Glitches with Flip-Flop Language Modeling
Exposing Attention Glitches with Flip-Flop Language Modeling
Bingbin Liu
Jordan T. Ash
Surbhi Goel
A. Krishnamurthy
Cyril Zhang
LRM
27
46
0
01 Jun 2023
Generating EDU Extracts for Plan-Guided Summary Re-Ranking
Generating EDU Extracts for Plan-Guided Summary Re-Ranking
Griffin Adams
Alexander R. Fabbri
Faisal Ladhak
Kathleen McKeown
Noémie Elhadad
8
10
0
28 May 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
28
9
0
26 May 2023
Improving Factuality of Abstractive Summarization without Sacrificing
  Summary Quality
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality
Tanay Dixit
Fei Wang
Muhao Chen
HILM
19
9
0
24 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
17
0
0
18 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
22
8
0
12 May 2023
HistAlign: Improving Context Dependency in Language Generation by
  Aligning with History
HistAlign: Improving Context Dependency in Language Generation by Aligning with History
David Wan
Shiyue Zhang
Mohit Bansal
AI4TS
21
5
0
08 May 2023
Automatically Summarizing Evidence from Clinical Trials: A Prototype
  Highlighting Current Challenges
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges
S. Ramprasad
Denis Jered McInerney
Iain J. Marshal
Byron C. Wallace
8
9
0
07 Mar 2023
Faithfulness-Aware Decoding Strategies for Abstractive Summarization
Faithfulness-Aware Decoding Strategies for Abstractive Summarization
David Wan
Mengwen Liu
Kathleen McKeown
Markus Dreyer
Mohit Bansal
HILM
111
32
0
06 Mar 2023
"Why is this misleading?": Detecting News Headline Hallucinations with
  Explanations
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations
Jiaming Shen
Jialu Liu
Daniel Finnie
N. Rahmati
Michael Bendersky
Marc Najork
17
19
0
12 Feb 2023
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and
  Entailment Recognition
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition
Sihao Chen
S. Buthpitiya
Alex Fabrikant
Dan Roth
Tal Schuster
13
23
0
21 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
19
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
46
99
0
19 Dec 2022
RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with
  Knowledge Grounding
RHO (ρρρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding
Ziwei Ji
Zihan Liu
Nayeon Lee
Tiezheng Yu
Bryan Wilie
Mini Zeng
Pascale Fung
HILM
6
53
0
03 Dec 2022
Improving Factual Consistency in Summarization with Compression-Based
  Post-Editing
Improving Factual Consistency in Summarization with Compression-Based Post-Editing
Alexander R. Fabbri
Prafulla Kumar Choubey
Jesse Vig
Chien-Sheng Wu
Caiming Xiong
HILM
KELM
42
17
0
11 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-Hong Wu
HILM
19
10
0
01 Nov 2022
Mutual Information Alleviates Hallucinations in Abstractive
  Summarization
Mutual Information Alleviates Hallucinations in Abstractive Summarization
Liam van der Poel
Ryan Cotterell
Clara Meister
HILM
6
56
0
24 Oct 2022
Shortcomings of Question Answering Based Factuality Frameworks for Error
  Localization
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization
Ryo Kamoi
Tanya Goyal
Greg Durrett
HILM
24
14
0
13 Oct 2022
Extractive is not Faithful: An Investigation of Broad Unfaithfulness
  Problems in Extractive Summarization
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization
Shiyue Zhang
David Wan
Mohit Bansal
HILM
45
27
0
08 Sep 2022
Using Multi-Encoder Fusion Strategies to Improve Personalized Response
  Selection
Using Multi-Encoder Fusion Strategies to Improve Personalized Response Selection
Souvik Das
Sougata Saha
R. Srihari
11
5
0
20 Aug 2022
Improving the Faithfulness of Abstractive Summarization via Entity
  Coverage Control
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control
Haopeng Zhang
Semih Yavuz
Wojciech Kry'sciñski
Kazuma Hashimoto
Yingbo Zhou
HILM
18
34
0
05 Jul 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
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for
  Abstractive Summarization
FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization
David Wan
Mohit Bansal
HILM
18
68
0
16 May 2022
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