PsyArXiv
metadata only
Evaluating Ratings from Large Language Models: A Simulation-Based Workflow
Large Language Models (LLMs) are increasingly used as research tools to facilitate the fast and automated extraction of text features. In psychological studies, they have been used to quantify the degree to which verbal stimulus materials reflect certain psychological constructs. However, the applic
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
- Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact#290636
- A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs#927819
- Does Reasoning Improve Psychological Depth in Large Language Models? It Depends on Who's Judging#1083274
- TIDE: Tree-Induced Fine-Grained Diagnostic Evaluation from Model Behaviors#1414665
- TIDE: Tree-Induced Fine-Grained Diagnostic Evaluation from Model Behaviors#1406457
Record · ID 1501824
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