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Generating Fact Checking Explanations

Generating Fact Checking Explanations

13 April 2020
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
ArXivPDFHTML

Papers citing "Generating Fact Checking Explanations"

50 / 112 papers shown
Title
Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
Michael Pichat
William Pogrund
Paloma Pichat
Judicael Poumay
Armanouche Gasparian
Samuel Demarchi
Martin Corbet
Alois Georgeon
Michael Veillet-Guillem
MILM
24
0
0
30 Apr 2025
Detecting Manipulated Contents Using Knowledge-Grounded Inference
Detecting Manipulated Contents Using Knowledge-Grounded Inference
Mark Huasong Meng
Ruizhe Wang
Meng Xu
Chuan Yan
Guangdong Bai
38
0
0
29 Apr 2025
Intra-neuronal attention within language models Relationships between activation and semantics
Intra-neuronal attention within language models Relationships between activation and semantics
Michael Pichat
William Pogrund
Paloma Pichat
Armanouche Gasparian
Samuel Demarchi
Corbet Alois Georgeon
Michael Veillet-Guillem
MILM
41
0
0
17 Mar 2025
LLM-based Corroborating and Refuting Evidence Retrieval for Scientific Claim Verification
Siyuan Wang
James R. Foulds
Md Osman Gani
Shimei Pan
51
0
0
11 Mar 2025
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
Zekun Zhou
Xiaocheng Feng
L. Huang
Xiachong Feng
Ziyun Song
...
Baoxin Wang
Dayong Wu
Guoping Hu
Ting Liu
Bing Qin
AI4TS
69
0
0
03 Mar 2025
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
Hongzhan Lin
Yang Deng
Yuxuan Gu
Wenxuan Zhang
Jing Ma
See-Kiong Ng
Tat-Seng Chua
LLMAG
KELM
HILM
65
0
0
25 Feb 2025
Synthetic Categorical Restructuring large Or How AIs Gradually Extract Efficient Regularities from Their Experience of the World
Michael Pichat
William Pogrund
Paloma Pichat
Armanouche Gasparian
Samuel Demarchi
Martin Corbet
Alois Georgeon
Theo Dasilva
Michael Veillet-Guillem
47
2
0
25 Feb 2025
Reasoning About Persuasion: Can LLMs Enable Explainable Propaganda Detection?
Reasoning About Persuasion: Can LLMs Enable Explainable Propaganda Detection?
Maram Hasanain
Md. Arid Hasan
Mohamed Bayan Kmainasi
Elisa Sartori
Ali Ezzat Shahroor
Giovanni Da San Martino
Firoj Alam
38
0
0
23 Feb 2025
Hallucination Detection in Large Language Models with Metamorphic Relations
Hallucination Detection in Large Language Models with Metamorphic Relations
Borui Yang
Md Afif Al Mamun
Jie M. Zhang
Gias Uddin
HILM
64
0
0
20 Feb 2025
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
Greta Warren
Irina Shklovski
Isabelle Augenstein
OffRL
72
4
0
13 Feb 2025
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
How Do Artificial Intelligences Think? The Three Mathematico-Cognitive Factors of Categorical Segmentation Operated by Synthetic Neurons
Michael Pichat
William Pogrund
Armanush Gasparian
Paloma Pichat
Samuel Demarchi
Michael Veillet-Guillem
42
3
0
26 Dec 2024
DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts
DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts
Tobias Braun
Mark Rothermel
Marcus Rohrbach
Anna Rohrbach
87
1
0
13 Dec 2024
FinDVer: Explainable Claim Verification over Long and Hybrid-Content
  Financial Documents
FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents
Yilun Zhao
Yitao Long
Yuru Jiang
Chengye Wang
Weiyuan Chen
Hongjun Liu
Yiming Zhang
Xiangru Tang
Chen Zhao
Arman Cohan
VLM
33
1
0
08 Nov 2024
Contrastive Learning to Improve Retrieval for Real-world Fact Checking
Contrastive Learning to Improve Retrieval for Real-world Fact Checking
Aniruddh Sriram
Fangyuan Xu
Eunsol Choi
Greg Durrett
27
1
0
07 Oct 2024
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification
  and Explanation Generation
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation
Jing Yang
Anderson de Rezende Rocha
42
1
0
05 Oct 2024
Zero-Shot Fact Verification via Natural Logic and Large Language Models
Zero-Shot Fact Verification via Natural Logic and Large Language Models
Marek Strong
Rami Aly
Andreas Vlachos
LRM
21
0
0
04 Oct 2024
"The Data Says Otherwise"-Towards Automated Fact-checking and
  Communication of Data Claims
"The Data Says Otherwise"-Towards Automated Fact-checking and Communication of Data Claims
Yu Fu
Shunan Guo
Jane Hoffswell
Victor S. Bursztyn
Ryan A. Rossi
J. Stasko
26
2
0
16 Sep 2024
CiteME: Can Language Models Accurately Cite Scientific Claims?
CiteME: Can Language Models Accurately Cite Scientific Claims?
Ori Press
Andreas Hochlehnert
Ameya Prabhu
Vishaal Udandarao
Ofir Press
Matthias Bethge
41
12
0
10 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
41
8
0
09 Jul 2024
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition
  and Program of Thought Verification
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
Pritish Sahu
Karan Sikka
Ajay Divakaran
MLLM
LRM
66
4
0
02 Jul 2024
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open
  Models
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
Jaeyoung Lee
Ximing Lu
Jack Hessel
Faeze Brahman
Youngjae Yu
Yonatan Bisk
Yejin Choi
Saadia Gabriel
36
3
0
29 Jun 2024
Tell Me Why: Explainable Public Health Fact-Checking with Large Language
  Models
Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models
Majid Zarharan
Pascal Wullschleger
Babak Behkam Kia
Mohammad Taher Pilehvar
Jennifer Foster
LRM
ELM
LM&MA
26
3
0
15 May 2024
ReproHum #0087-01: Human Evaluation Reproduction Report for Generating
  Fact Checking Explanations
ReproHum #0087-01: Human Evaluation Reproduction Report for Generating Fact Checking Explanations
Tyler Loakman
Chenghua Lin
27
0
0
26 Apr 2024
Evaluating Class Membership Relations in Knowledge Graphs using Large
  Language Models
Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models
Bradley Paul Allen
Paul T. Groth
21
3
0
25 Apr 2024
KS-LLM: Knowledge Selection of Large Language Models with Evidence
  Document for Question Answering
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering
Xinxin Zheng
Feihu Che
Jinyang Wu
Shuai Zhang
Shuai Nie
Kang Liu
Jianhua Tao
RALM
HILM
21
3
0
24 Apr 2024
FACTOID: FACtual enTailment fOr hallucInation Detection
FACTOID: FACtual enTailment fOr hallucInation Detection
Vipula Rawte
S. M. Towhidul
Krishnav Rajbangshi
Shravani Nag
Aman Chadha
Amit P. Sheth
Amitava Das
HILM
31
3
0
28 Mar 2024
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with
  Fact-Checking in Turkish
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish
R. Çekinel
Pinar Senkul
Çağrı Çöltekin
27
1
0
01 Mar 2024
Can LLMs Produce Faithful Explanations For Fact-checking? Towards
  Faithful Explainable Fact-Checking via Multi-Agent Debate
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
Kyungha Kim
Sangyun Lee
Kung-Hsiang Huang
Hou Pong Chan
Manling Li
Heng Ji
LRM
49
38
0
12 Feb 2024
Explaining Veracity Predictions with Evidence Summarization: A
  Multi-Task Model Approach
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
R. Çekinel
Pinar Senkul
AAML
28
3
0
09 Feb 2024
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim
  Verification
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification
Xia Zeng
A. Zubiaga
39
5
0
29 Jan 2024
How We Refute Claims: Automatic Fact-Checking through Flaw
  Identification and Explanation
How We Refute Claims: Automatic Fact-Checking through Flaw Identification and Explanation
Wei-Yu Kao
An-Zi Yen
HILM
19
4
0
27 Jan 2024
Generating Zero-shot Abstractive Explanations for Rumour Verification
Generating Zero-shot Abstractive Explanations for Rumour Verification
I. Bilal
Preslav Nakov
Rob Procter
M. Liakata
19
0
0
23 Jan 2024
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking
  of Real-world Claims
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
Fengzhu Zeng
Wei Gao
39
15
0
16 Jan 2024
Fact-checking based fake news detection: a review
Fact-checking based fake news detection: a review
Yuzhou Yang
Yangming Zhou
Qichao Ying
Zhenxing Qian
Dan Zeng
Liang Liu
EgoV
54
0
0
03 Jan 2024
Evidence-based Interpretable Open-domain Fact-checking with Large
  Language Models
Evidence-based Interpretable Open-domain Fact-checking with Large Language Models
Xin Tan
Bowei Zou
AiTi Aw
LRM
HILM
18
2
0
10 Dec 2023
Countering Misinformation via Emotional Response Generation
Countering Misinformation via Emotional Response Generation
Daniel Russo
Shane P. Kaszefski-Yaschuk
Jacopo Staiano
Marco Guerini
OffRL
14
9
0
17 Nov 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
29
33
0
15 Nov 2023
Translating Legalese: Enhancing Public Understanding of Court Opinions
  with Legal Summarizers
Translating Legalese: Enhancing Public Understanding of Court Opinions with Legal Summarizers
Elliott Ash
Aniket Kesari
Suresh Naidu
Lena Song
Dominik Stammbach
ELM
19
4
0
11 Nov 2023
A Survey on Hallucination in Large Language Models: Principles,
  Taxonomy, Challenges, and Open Questions
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Lei Huang
Weijiang Yu
Weitao Ma
Weihong Zhong
Zhangyin Feng
...
Qianglong Chen
Weihua Peng
Xiaocheng Feng
Bing Qin
Ting Liu
LRM
HILM
39
718
0
09 Nov 2023
Is Explanation the Cure? Misinformation Mitigation in the Short Term and
  Long Term
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term
Yi-Li Hsu
Shih-Chieh Dai
Aiping Xiong
Lun-Wei Ku
OffRL
25
4
0
26 Oct 2023
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
Huanhuan Ma
Weizhi Xu
Yifan Wei
Liuji Chen
Liang Wang
Qiang Liu
Shu Wu
Liang Wang
19
14
0
15 Oct 2023
Reinforcement Learning-based Knowledge Graph Reasoning for Explainable
  Fact-checking
Reinforcement Learning-based Knowledge Graph Reasoning for Explainable Fact-checking
Gustav Nikopensius
Mohit Mayank
Orchid Chetia Phukan
Rajesh Sharma
OffRL
26
6
0
11 Oct 2023
Why Should This Article Be Deleted? Transparent Stance Detection in
  Multilingual Wikipedia Editor Discussions
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
Lucie-Aimée Kaffee
Arnav Arora
Isabelle Augenstein
21
5
0
09 Oct 2023
Explainable Claim Verification via Knowledge-Grounded Reasoning with
  Large Language Models
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
Haoran Wang
Kai Shu
LRM
43
22
0
08 Oct 2023
Towards LLM-based Fact Verification on News Claims with a Hierarchical
  Step-by-Step Prompting Method
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
Xuan Zhang
Wei Gao
LRM
19
79
0
30 Sep 2023
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and
  Explanation Generation
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
Aman Rangapur
Haoran Wang
Ling Jian
Kai Shu
14
13
0
15 Sep 2023
FactLLaMA: Optimizing Instruction-Following Language Models with
  External Knowledge for Automated Fact-Checking
FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking
Tsun-hin Cheung
K. Lam
KELM
HILM
LRM
17
26
0
01 Sep 2023
Benchmarking the Generation of Fact Checking Explanations
Benchmarking the Generation of Fact Checking Explanations
Daniel Russo
Serra Sinem Tekiroğlu
Marco Guerini
17
16
0
29 Aug 2023
"Beware of deception": Detecting Half-Truth and Debunking it through
  Controlled Claim Editing
"Beware of deception": Detecting Half-Truth and Debunking it through Controlled Claim Editing
Sandeep Singamsetty
Nishtha Madaan
S. Mehta
Varad Bhatnagar
P. Bhattacharyya
HILM
22
0
0
15 Aug 2023
XAI in Automated Fact-Checking? The Benefits Are Modest and There's No
  One-Explanation-Fits-All
XAI in Automated Fact-Checking? The Benefits Are Modest and There's No One-Explanation-Fits-All
Gionnieve Lim
S. Perrault
15
1
0
07 Aug 2023
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