bioRxiv / medRxiv
open access
Benchmarking large language models on the Ukrainian Krok 2 licensing examination in physical therapy: accuracy, consistency, and agreement
AimTo evaluate the accuracy, run-to-run consistency, and agreement of large language models on the Ukrainian Integrated Licensing Examination Krok 2 for the Specialty of Physical Therapy. Materials and MethodsFive cloud-based LLMs (ChatGPT-5.5, Claude 5 Sonnet, Gemini 3.5 Flash, Grok 4, DeepSeek-V3
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
- Potenzial und Herausforderungen von Large Language Models in der klinischen Entscheidungsfindung#1068003
- The LLENS Platform for On-Premises Large Language Model Agents in a Japanese University Hospital: Development and Evaluation Study#1447518
- Clinician use of language models diverges from how the models are evaluated#1247996
- Pass or Fail? Evaluating LLMs on Two Greek Examination Benchmarks#1129417
- Self-regulating the use of large language models in clinical practice: a risk-stratified approach.#161902
Record · ID 1450967
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