Europe PMC
open access
Evaluating large language model performance and reliability in scoring picture description tasks for neuropsychological assessment
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
- Evaluating large language model performance and reliability in scoring picture description tasks for neuropsychological assessment.#122720
- Human-Grounded Calibration for Long-Text Image-Text Congruence in Vision-Language Models#1109621
- Performance of multimodal large language models in statistical map understanding: reading, analysis, and interpretation tasks#809995
- Evaluating Multimodal Large Language Models in Neuroradiology: Methodological Considerations.#345261
- CogPic: A Multimodal Dataset for Early Cognitive Impairment Assessment via Picture Description Tasks#652255
Record · ID 123244
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