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End-to-end multilingual fact-checking at scale
Feb. 20, 2024, 5:52 a.m. | Vinay Setty
cs.CL updates on arXiv.org arxiv.org
Abstract: In this article, we describe how you can perform end-to-end fact-checking in over 100 languages using Factiverse AI models. We also show through an experimental benchmark that fine-tuned models tailored for fact-checking tasks outperform Large Language Models such as GPT-4, GPT-3.5-Turbo, and Mistral-7b.
abstract ai models article arxiv benchmark cs.ai cs.cl experimental fact-checking gpt gpt-3 gpt-3.5 gpt-3.5-turbo gpt-4 language language models languages large language large language models mistral multilingual scale show tasks through turbo type
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