Improving LLM Leaderboards with Psychometrical Methodology

Understand

The rapid development of large language models (LLMs) has necessitated the creation of benchmarks to evaluate their performance.

• These benchmarks resemble human tests and surveys, as they consist of sets of questions designed to measure emergent properties in the cognitive behavior of these systems.
• However, unlike the well-defined traits and abilities studied in social sciences, the properties measured by these benchmarks are often vaguer and less rigorously defined.
• The most prominent benchmarks are often grouped into leaderboards for convenience, aggregating performance metrics and enabling comparisons between models.