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.

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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

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article

AIC CTU@FEVER 8: On-premise fact checking through long context RAG

Jan Drchal, Herbert Ullrich
Topic Modeling
article

AIC CTU@FEVER 8: On-premise fact checking through long context RAG

Jan Drchal, Herbert Ullrich
article en

Abstract

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.

Charles University (CZ), Czech Technical University in Prague (CZ)
Ministerstvo Průmyslu a Obchodu, Research Center for Informatics, Czech Technical University in Prague
Openalex Percentile: Top 90%
Topic Modeling
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