AIC CTU@FEVER 8: On-premise fact checking through long context RAG
In this paper, we present our fact verification pipeline which has scored first in FEVER 8 shared task in real-world automated factchecking.Our system is a simple two-step RAG pipeline based on our last year's submission.We show how the pipeline can be redeployed on-premise, achieving state-of-the-art fact-checking performance (in sense of Ev 2 R test-score), even under the constraint of a single Nvidia A10 GPU, 23GB of graphical memory and 60s running time per claim.
Authors
- Jan Drchal (ORCID: https://orcid.org/0000-0003-0466-275X)
- Herbert Ullrich
Institutions
- Charles University (CZ)
- Czech Technical University in Prague (CZ)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.fever-1.22
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministerstvo Průmyslu a Obchodu
- Research Center for Informatics, Czech Technical University in Prague