GeneTuring tests GPT models in genomics.
Ontology highlight
ABSTRACT:
SUBMITTER: Hou W
PROVIDER: S-EPMC10054955 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature
Publications
Benchmarking large language models for genomic knowledge with GeneTuring.
Hou Wenpin W Shang Xinyi X Ji Zhicheng Z
bioRxiv : the preprint server for biology 20250105
Large language models have demonstrated great potential in biomedical research. However, their ability to serve as a knowledge base for genomic research remains unknown. We developed GeneTuring, a comprehensive Q&A database containing 1,200 questions in genomics, and manually scored 25,200 answers provided by six GPT models, including GPT-4o, Claude 3.5, and Gemini Advanced. GPT-4o with web access showed the best overall performance and excelled in most tasks. However, it still failed to correct ...[more]
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