Papers with Chinese Pharmacist Examination

1 papers
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination (2023.findings-emnlp)

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Challenge: Existing explanation datasets for large language models are limited to the English language and general domain, leading to a scarcity of linguistic diversity and a lack of resources in specialized domains, such as medical.
Approach: They propose to use a medical dataset to assess the interpretability of Large Language Models (LLMs) . they propose to analyze medical text and generate rationales for their decisions .
Outcome: The proposed model passes the pharmacist examination with a 75.7% accuracy, while other models like ChatGPT fail.

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