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Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
Feb. 20, 2024, 5:53 a.m. | Caiqi Zhang, Zhijiang Guo, Andreas Vlachos
cs.CL updates on arXiv.org arxiv.org
Abstract: This paper investigates the potential benefits of language-specific fact-checking models, focusing on the case of Chinese. We first demonstrate the limitations of translation-based methods and multilingual large language models (e.g., GPT-4), highlighting the need for language-specific systems. We further propose a Chinese fact-checking system that can better retrieve evidence from a document by incorporating context information. To better analyze token-level biases in different systems, we construct an adversarial dataset based on the CHEF dataset, where …
abstract arxiv benefits case chinese cs.cl fact-checking gpt gpt-4 highlighting language language models large language large language models limitations multilingual paper systems translation type
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