JustiLM: Few-shot justification generation for explainable fact-checking of real-world claims

• Main Authors: ZENG, Fengzhu, GAO, Wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2004
• Subjects: Artificial Intelligence and Robotics; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/9441; https://ink.library.smu.edu.sg/context/sis_research/article/10441/viewcontent/2024.tacl_1.19_pvoa_cc_by.pdf
• Institution: Singapore Management University

Justification is an explanation that supports the verdict assigned to a claim in fact-checking. However, the task of justification generation is previously oversimplified as summarization of fact-check article authored by professional checkers. In this work, we propose a realistic approach to genera...