[Submitted on 30 Jul 2026]
Title:DS@GT ARC at CheckThat! 2026: A Verdict-Anchored Pipeline for Generating Fact-Checking Articles
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Abstract:Misinformation spreads faster than professional fact-checkers can manually verify it and write articles explaining their verdicts. This creates a need to automate the production of fact-checking articles. This paper details work done by the DS@GT ARC team for CLEF 2026 CheckThat! Lab Task 3 Fact-Checking Article Generation. We seek to generate a full fact-checking article from a claim, its original verdict, and a set of scraped source documents. Our team built a four-stage pipeline that cleans noisy evidence, retrieves and clusters relevant sources, generates the article by conditioning \texttt{Llama-3.1-8B-Instruct} on the original fact-checker verdict, and recovers inline citations through deterministic post-processing. We achieved a mean score of 0.428 and ranked 3rd out of 9 teams for the CLEF 2026 CheckThat! Lab Task 3, compared to a baseline mean score of 0.272. Our code is available on GitHub at this https URL.
Comments: CLEF 2026 Working Notes, 21 - 24 September 2026, Jena, Germany
Subjects:
Computation and Language (cs.CL)
ACM classes: I.2.7; H.3.3
Cite as: arXiv:2611.05382 [cs.CL]
(or arXiv:2611.05382v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2611.05382
arXiv-issued DOI via DataCite
Submission history
From: Hoang Thanh Thanh Truong [view email] [v1] Thu, 30 Jul 2026 04:20:07 UTC (133 KB)
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