---
id: 20260901-T0-09
title: "Rating the Raters: Rasch Measurement Theory for LLM Evaluation"
url: https://ai.daily.yangsir.net/daily/20260901-T0-09
issue_date: 2026-09-01
publish_date: 2026-08-31T04:00:00.000Z
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2608.27463
---

# Rating the Raters: Rasch Measurement Theory for LLM Evaluation

arXiv:2608.27463v1 Announce Type: new Abstract: LLMs now sit on every side of evaluation: as examinees scored on benchmarks, judges of other models' outputs, and raters of human-generated content. Each paradigm can be viewed as a measurement problem, where a latent property of an object is probed wi

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2608.27463)

**详情页**：https://ai.daily.yangsir.net/daily/20260901-T0-09

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