arXiv (All)
open access
The Shared Latent Structure of LLM Psychometric Responses
Human psychometric questionnaires are increasingly used to characterize large language models (LLMs), but it remains unclear what exactly their responses reflect. To answer this question we analyze responses from 50 LLMs across 45 questionnaires spanning multiple psychological domains using psychome
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challenges#1326076
- The Missing Minimal Pair: Stereotype Evaluation in LLMs#1218539
- Beyond Likert Scales: Convergent Validity of an NLP-Based Future Self-Continuity Assessment from Verbal Data#1221526
- Gathered, Not Admitted: How Attention Brings a Latent Variable into Verbalizable Form#612453
- Gathered, Not Admitted: How Attention Brings a Latent Variable into Verbalizable Form#610976
Record · ID 1343573
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive