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Evidence-based Factual Error Correction

Evidence-based Factual Error Correction

31 December 2020
James Thorne
Andreas Vlachos
    KELM
    OffRL
ArXivPDFHTML

Papers citing "Evidence-based Factual Error Correction"

41 / 41 papers shown
Title
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
David Wan
Justin Chih-Yao Chen
Elias Stengel-Eskin
Joey Tianyi Zhou
LLMAG
LRM
65
1
0
19 Mar 2025
Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection
Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection
Zehong Yan
Peng Qi
W. Hsu
M. Lee
47
0
0
24 Jan 2025
Atomic Fact Decomposition Helps Attributed Question Answering
Atomic Fact Decomposition Helps Attributed Question Answering
Zhichao Yan
J. Wang
Jiaoyan Chen
Xiaoli Li
Ru Li
Jeff Z. Pan
KELM
HILM
36
0
0
22 Oct 2024
Medico: Towards Hallucination Detection and Correction with Multi-source
  Evidence Fusion
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion
Xinping Zhao
Jindi Yu
Zhenyu Liu
Jifang Wang
Dongfang Li
Yibin Chen
Baotian Hu
Min Zhang
HILM
33
0
0
14 Oct 2024
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service
Song Wang
Xun Wang
Jie Mei
Yujia Xie
Sean Muarray
Zhang Li
Lingfeng Wu
Sihan Chen
Wayne Xiong
HILM
61
0
0
22 Jul 2024
Automated Justification Production for Claim Veracity in Fact Checking:
  A Survey on Architectures and Approaches
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches
Islam Eldifrawi
Shengrui Wang
Amine Trabelsi
46
8
0
09 Jul 2024
Learning to Refine with Fine-Grained Natural Language Feedback
Learning to Refine with Fine-Grained Natural Language Feedback
Manya Wadhwa
Xinyu Zhao
Junyi Jessy Li
Greg Durrett
37
12
0
02 Jul 2024
POLygraph: Polish Fake News Dataset
POLygraph: Polish Fake News Dataset
Daniel Dzienisiewicz
Filip Graliñski
Piotr Jabłoński
Marek Kubis
Paweł Skórzewski
Piotr Wierzchoñ
25
0
0
01 Jul 2024
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of
  Self-Correction of LLMs
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
Ryo Kamoi
Yusen Zhang
Nan Zhang
Jiawei Han
Rui Zhang
LRM
50
57
0
03 Jun 2024
Gradient Guided Hypotheses: A unified solution to enable machine
  learning models on scarce and noisy data regimes
Gradient Guided Hypotheses: A unified solution to enable machine learning models on scarce and noisy data regimes
Paulo Neves
Joerg K. Wegner
Philippe Schwaller
23
0
0
29 May 2024
MisgenderMender: A Community-Informed Approach to Interventions for
  Misgendering
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering
Tamanna Hossain
Sunipa Dev
Sameer Singh
32
5
0
23 Apr 2024
Quantum Natural Language Processing
Quantum Natural Language Processing
Dominic Widdows
Willie Aboumrad
Dohun Kim
Sayonee Ray
Jonathan Mei
50
6
0
28 Mar 2024
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
Juyeon Kim
Jeongeun Lee
Yoonho Chang
Chanyeol Choi
Junseong Kim
Jy-yong Sohn
KELM
LRM
56
2
0
27 Feb 2024
Knowledge Editing on Black-box Large Language Models
Knowledge Editing on Black-box Large Language Models
Xiaoshuai Song
Zhengyang Wang
Keqing He
Guanting Dong
Yutao Mou
Jinxu Zhao
Weiran Xu
KELM
31
2
0
13 Feb 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
Chenhui Xu
19
33
0
15 Dec 2023
Improving Factual Error Correction by Learning to Inject Factual Errors
Improving Factual Error Correction by Learning to Inject Factual Errors
Xingwei He
Qianru Zhang
Alex Jin
Jun Ma
Yuan Yuan
Siu-Ming Yiu
KELM
23
2
0
12 Dec 2023
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic
  Fact-checkers
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
Yuxia Wang
Revanth Gangi Reddy
Zain Muhammad Mujahid
Arnav Arora
Aleksandr Rubashevskii
...
Nadav Borenstein
Aditya Pillai
Isabelle Augenstein
Iryna Gurevych
Preslav Nakov
HILM
38
33
0
15 Nov 2023
Survey on Factuality in Large Language Models: Knowledge, Retrieval and
  Domain-Specificity
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
Cunxiang Wang
Xiaoze Liu
Yuanhao Yue
Xiangru Tang
Tianhang Zhang
...
Linyi Yang
Jindong Wang
Xing Xie
Zheng-Wei Zhang
Yue Zhang
HILM
KELM
51
184
0
11 Oct 2023
XATU: A Fine-grained Instruction-based Benchmark for Explainable Text
  Updates
XATU: A Fine-grained Instruction-based Benchmark for Explainable Text Updates
Haopeng Zhang
Hayate Iso
Sairam Gurajada
Nikita Bhutani
39
6
0
20 Sep 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
16
8
0
08 Jun 2023
PURR: Efficiently Editing Language Model Hallucinations by Denoising
  Language Model Corruptions
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions
Anthony Chen
Panupong Pasupat
Sameer Singh
Hongrae Lee
Kelvin Guu
32
40
0
24 May 2023
SciFix: Outperforming GPT3 on Scientific Factual Error Correction
SciFix: Outperforming GPT3 on Scientific Factual Error Correction
D. Ashok
Atharva Kulkarni
Hai Pham
Barnabás Póczos
30
1
0
24 May 2023
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large
  Language Models
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
Miaoran Li
Baolin Peng
Michel Galley
Jianfeng Gao
Zhu Zhang
LRM
HILM
KELM
34
28
0
24 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
AnnoLLM: Making Large Language Models to Be Better Crowdsourced
  Annotators
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
Xingwei He
Zheng-Wen Lin
Yeyun Gong
Alex Jin
Hang Zhang
Chen Lin
Jian Jiao
Siu-Ming Yiu
Nan Duan
Weizhu Chen
46
186
0
29 Mar 2023
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation
  Verification
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
Seungone Kim
Se June Joo
Yul Jang
Hyungjoo Chae
Jinyoung Yeo
LRM
22
12
0
07 Mar 2023
Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented
  Large Language Models
Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models
Renat Aksitov
Chung-Ching Chang
David Reitter
Siamak Shakeri
Yun-hsuan Sung
RALM
19
16
0
11 Feb 2023
Converge to the Truth: Factual Error Correction via Iterative
  Constrained Editing
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Jiangjie Chen
Rui Xu
Wenyuan Zeng
Changzhi Sun
Lei Li
Yanghua Xiao
KELM
43
9
0
22 Nov 2022
SciFact-Open: Towards open-domain scientific claim verification
SciFact-Open: Towards open-domain scientific claim verification
David Wadden
Kyle Lo
Bailey Kuehl
Arman Cohan
Iz Beltagy
Lucy Lu Wang
Hannaneh Hajishirzi
LRM
22
55
0
25 Oct 2022
RARR: Researching and Revising What Language Models Say, Using Language
  Models
RARR: Researching and Revising What Language Models Say, Using Language Models
Luyu Gao
Zhuyun Dai
Panupong Pasupat
Anthony Chen
Arun Tejasvi Chaganty
...
Vincent Zhao
Ni Lao
Hongrae Lee
Da-Cheng Juan
Kelvin Guu
HILM
KELM
41
256
0
17 Oct 2022
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against
  Fact-Verification Systems
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
Sahar Abdelnabi
Mario Fritz
AAML
200
5
0
07 Sep 2022
Claim-Dissector: An Interpretable Fact-Checking System with Joint
  Re-ranking and Veracity Prediction
Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Prediction
Martin Fajcik
P. Motlícek
Pavel Smrz
31
18
0
28 Jul 2022
Factual Error Correction for Abstractive Summaries Using Entity
  Retrieval
Factual Error Correction for Abstractive Summaries Using Entity Retrieval
Hwanhee Lee
Cheoneum Park
Seunghyun Yoon
Trung Bui
Franck Dernoncourt
Juae Kim
Kyomin Jung
KELM
12
12
0
18 Apr 2022
Fact Checking with Insufficient Evidence
Fact Checking with Insufficient Evidence
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
37
14
0
05 Apr 2022
DialFact: A Benchmark for Fact-Checking in Dialogue
DialFact: A Benchmark for Fact-Checking in Dialogue
Prakhar Gupta
C. Wu
Wenhao Liu
Caiming Xiong
HILM
24
62
0
15 Oct 2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification
ProoFVer: Natural Logic Theorem Proving for Fact Verification
Amrith Krishna
Sebastian Riedel
Andreas Vlachos
21
61
0
25 Aug 2021
FaVIQ: FAct Verification from Information-seeking Questions
FaVIQ: FAct Verification from Information-seeking Questions
Jungsoo Park
Sewon Min
Jaewoo Kang
Luke Zettlemoyer
Hannaneh Hajishirzi
HILM
34
37
0
05 Jul 2021
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
Jiangjie Chen
Qiaoben Bao
Changzhi Sun
Xinbo Zhang
Jiaze Chen
Hao Zhou
Yanghua Xiao
Lei Li
LRM
53
31
0
25 Dec 2020
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
218
248
0
19 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
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
417
2,588
0
03 Sep 2019
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