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FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
April 30, 2024, 4:50 a.m. | Wei Li, Ren Ma, Jiang Wu, Chenya Gu, Jiahui Peng, Jinyang Len, Songyang Zhang, Hang Yan, Dahua Lin, Conghui He
cs.CL updates on arXiv.org arxiv.org
Abstract: In the burgeoning field of large language models (LLMs), the assessment of fundamental knowledge remains a critical challenge, particularly for models tailored to Chinese language and culture. This paper introduces FoundaBench, a pioneering benchmark designed to rigorously evaluate the fundamental knowledge capabilities of Chinese LLMs. FoundaBench encompasses a diverse array of 3354 multiple-choice questions across common sense and K-12 educational subjects, meticulously curated to reflect the breadth and depth of everyday and academic knowledge. We …
abstract arxiv assessment benchmark capabilities challenge chinese cs.ai cs.cl culture fundamental knowledge language language models large language large language models llms paper type
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