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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00384629" target="_blank" >RIV/68407700:21230/25:00384629 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.18653/v1/2025.fever-1.22" target="_blank" >https://doi.org/10.18653/v1/2025.fever-1.22</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18653/v1/2025.fever-1.22" target="_blank" >10.18653/v1/2025.fever-1.22</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    In this paper, we present our fact-checking pipeline which has scored first in FEVER 8 shared task. Our fact-checking 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 Ev2R test-score), even under the constraint of a single Nvidia A10 GPU, 23GB of graphical memory and 60s running time per claim.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER)

  • ISBN

    978-1-959429-53-1

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    274-280

  • Publisher name

    Association for Computational Linguistics (ACL)

  • Place of publication

    Stroudsburg

  • Event location

    Vídeň

  • Event date

    Jul 31, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001661923200022