Rating the Raters: Rasch Measurement Theory for LLM Evaluation
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 with items from an instrument (e.g., benchmark) by judges or raters. Standard evaluation practices often neglect the contributions of each core component to the end result, limiting our understanding of what is being measured. Rasch measurement theory (RMT) is well-suited to this problem. RMT decomposes ordinal ratings into separable facets on a common scale. It further provides a battery of diagnostics that can identify miscalibrated measurem...
| Authors | Pratik S. Sachdeva, Nathan Boudol |
|---|---|
| Primary category | cs.AI |
| Published | 14 July 2026 |
| Last updated at source | 1 September 2026 |
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