HIGHLIGHTS
- What: Given that the terminology for LLM gained prominence after 2023, the authors focused the search on the literature published between January 1, 2023, and September 30, 2023. Approximately a quarter of the papers included in this study have evaluated performance based on question difficulty.
- Who: Jaeyong Shin et al. from the Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea have published the research: Analyzing evaluation methods for large language models in the field: scoping review, in the Journal: (JOURNAL) of September/30,/2023
- How: The search strategy used . . .

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