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Generating Zero-shot Abstractive Explanations for Rumour Verification

Generating Zero-shot Abstractive Explanations for Rumour Verification

23 January 2024
I. Bilal
Preslav Nakov
Rob Procter
M. Liakata
ArXivPDFHTML

Papers citing "Generating Zero-shot Abstractive Explanations for Rumour Verification"

7 / 7 papers shown
Title
Some Observations on Fact-Checking Work with Implications for
  Computational Support
Some Observations on Fact-Checking Work with Implications for Computational Support
Rob Procter
Miguel Arana Catania
Yulan He
Maria Liakata
A. Zubiaga
E. Kochkina
Runcong Zhao
36
9
0
03 May 2023
Can Large Language Models Be an Alternative to Human Evaluations?
Can Large Language Models Be an Alternative to Human Evaluations?
Cheng-Han Chiang
Hung-yi Lee
ALM
LM&MA
209
559
0
03 May 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
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
25
13
0
25 Sep 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation
  of News
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News
Ashkan Kazemi
Zehua Li
Verónica Pérez-Rosas
Rada Mihalcea
19
14
0
27 Apr 2021
A Survey on Stance Detection for Mis- and Disinformation Identification
A Survey on Stance Detection for Mis- and Disinformation Identification
Momchil Hardalov
Arnav Arora
Preslav Nakov
Isabelle Augenstein
109
132
0
27 Feb 2021
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
216
247
0
19 Oct 2020
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