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arXiv · 2410.23850

The Automated Verification of Textual Claims (AVeriTeC) Shared Task

Michael Schlichtkrull·Yulong Chen·Chenxi Whitehouse·Zhenyun Deng·Mubashara Akhtar·Rami Aly·Zhijiang Guo·Christos Christodoulopoulos·Oana Cocarascu·Arpit Mittal·James Thorne·Andreas Vlachos
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Abstract

The Automated Verification of Textual Claims (AVeriTeC) shared task asks participants to retrieve evidence and predict veracity for real-world claims checked by fact-checkers. Evidence can be found either via a search engine, or via a knowledge store provided by the organisers. Submissions are evaluated using AVeriTeC score, which considers a claim to be accurately verified if and only if both the verdict is correct and retrieved evidence is considered to meet a certain quality threshold. The shared task received 21 submissions, 18 of which surpassed our baseline. The winning team was TUDA_MAI with an AVeriTeC score of 63%. In this paper we describe the shared task, present the full results, and highlight key takeaways from the shared task.

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Michael Schlichtkrull, Yulong Chen, Chenxi Whitehouse, Zhenyun Deng, Mubashara Akhtar, Rami Aly, Zhijiang Guo, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal, James Thorne, Andreas Vlachos. 2024-10-31. The Automated Verification of Textual Claims (AVeriTeC) Shared Task. https://arxiv.org/abs/2410.23850

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