English

How Model Size, Temperature, and Prompt Style Affect LLM-Human Assessment Score Alignment

Computation and Language 2025-09-25 v1 Methodology

Abstract

We examined how model size, temperature, and prompt style affect Large Language Models' (LLMs) alignment within itself, between models, and with human in assessing clinical reasoning skills. Model size emerged as a key factor in LLM-human score alignment. Study highlights the importance of checking alignments across multiple levels.

Keywords

Cite

@article{arxiv.2509.19329,
  title  = {How Model Size, Temperature, and Prompt Style Affect LLM-Human Assessment Score Alignment},
  author = {Julie Jung and Max Lu and Sina Chole Benker and Dogus Darici},
  journal= {arXiv preprint arXiv:2509.19329},
  year   = {2025}
}

Comments

9 pages, 4 figures, accepted at NCME AIME 2025

R2 v1 2026-07-01T05:52:40.903Z