Search Results for author: Majid Zarharan

Found 2 papers, 2 papers with code

Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models

1 code implementation15 May 2024 Majid Zarharan, Pascal Wullschleger, Babak Behkam Kia, Mohammad Taher Pilehvar, Jennifer Foster

This paper presents a comprehensive analysis of explainable fact-checking through a series of experiments, focusing on the ability of large language models to verify public health claims and provide explanations or justifications for their veracity assessments.

ParsFEVER: a Dataset for Farsi Fact Extraction and Verification

1 code implementation Joint Conference on Lexical and Computational Semantics 2021 Majid Zarharan, Mahsa Ghaderan, Amin Pourdabiri, Zahra Sayedi, Behrouz Minaei-Bidgoli, Sauleh Eetemadi, Mohammad Taher Pilehvar

Training and evaluation of automatic fact extraction and verification techniques require large amounts of annotated data which might not be available for low-resource languages.

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