Introduces a Q-sort protocol using human reference factors to quantify LLM value-structure alignment via Procrustes similarity and RSA correlations, revealing cross-family heterogeneity and localized misalignments.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A simulation benchmark shows community detection on correlation graphs can extract thematic structure from high-dimensional ordinal Delphi data where traditional factor models fail due to rank deficiency.
citing papers explorer
-
Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts
Introduces a Q-sort protocol using human reference factors to quantify LLM value-structure alignment via Procrustes similarity and RSA correlations, revealing cross-family heterogeneity and localized misalignments.
-
Community detection in small-sample ordinal regimes: A benchmarking framework for Delphi data
A simulation benchmark shows community detection on correlation graphs can extract thematic structure from high-dimensional ordinal Delphi data where traditional factor models fail due to rank deficiency.