mlsanityData to 14 Oct 2026

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

arXiv 2509.19329 ↗First posted 14 Sep 2025cs.CL stat.MEcited by 1

On the map: LLM reasoning → Reasoning benchmarks and evaluation

Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 1 of its 23 references that are in the map. First posted on arXiv 14 Sep 2025.

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  1. 2024Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoringcited by 20

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