2025
ACL
ACL 2025
AIC CTU@FEVER 8: On-premise fact checking through long context RAG
Abstract
AbstractIn 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.
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Natural Language Processing, Reinforcement Learning
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
Authors
Topics
Natural Language Processing > Applications > Fact-Checking
Natural Language Processing > Applications > Information Retrieval
Artificial Intelligence > Core AI > Large Language Models
Machine Learning > Learning Types > Retrieval-Augmented Generation
Deep Learning > Learning Types > Retrieval-Augmented Generation