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Exploring Faithful Rationale for Multi-hop Fact Verification via
  Salience-Aware Graph Learning

Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning

2 December 2022
Jiasheng Si
Yingjie Zhu
Deyu Zhou
ArXivPDFHTML

Papers citing "Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning"

13 / 13 papers shown
Title
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
Han Cao
Lingwei Wei
Wei Zhou
Songlin Hu
KELM
62
0
0
11 Mar 2025
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
Delvin Ce Zhang
Dongwon Lee
HILM
LRM
65
0
0
09 Feb 2025
Mining the Explainability and Generalization: Fact Verification Based on
  Self-Instruction
Mining the Explainability and Generalization: Fact Verification Based on Self-Instruction
Guangyao Lu
Yulin Liu
40
0
0
21 May 2024
Towards a Framework for Evaluating Explanations in Automated Fact
  Verification
Towards a Framework for Evaluating Explanations in Automated Fact Verification
Neema Kotonya
Francesca Toni
32
5
0
29 Mar 2024
A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT
A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT
Zizhong Li
Haopeng Zhang
Jiawei Zhang
53
5
0
19 Dec 2023
Are Large Language Models Good Fact Checkers: A Preliminary Study
Are Large Language Models Good Fact Checkers: A Preliminary Study
Han Cao
Lingwei Wei
Mengyang Chen
Wei Zhou
Song Hu
LRM
HILM
34
6
0
29 Nov 2023
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data
  Augmentation for Multi-hop Fact Verification
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification
Yingjie Zhu
Jiasheng Si
Yibo Zhao
Haiyang Zhu
Deyu Zhou
Yulan He
38
6
0
23 Oct 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop
  Fact Verification
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification
Jiasheng Si
Yingjie Zhu
Deyu Zhou
AAML
46
3
0
16 May 2023
Graph Reasoning with Context-Aware Linearization for Interpretable Fact
  Extraction and Verification
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
Neema Kotonya
Thomas Spooner
Daniele Magazzeni
Francesca Toni
32
13
0
25 Sep 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
115
142
0
05 Feb 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
Learning from the Best: Rationalizing Prediction by Adversarial
  Information Calibration
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
127
35
0
16 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
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