Embedding-Based Evaluation and Benchmarking Framework for Optimizing LLM Post-Processing of Medical Transcriptions from a Local Whisper System.
- DOI
- 10.3233/shti261001
- Published
- 2026-09-01
- Container
- Stud Health Technol Inform
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.3233/shti261001,
title = {Embedding-Based Evaluation and Benchmarking Framework for Optimizing LLM Post-Processing of Medical Transcriptions from a Local Whisper System.},
author = {Wattar A and Christoph J and Demus C and Liegel P and Jäger C.},
year = {2026},
journal = {Stud Health Technol Inform},
doi = {10.3233/shti261001},
url = {https://doi.org/10.3233/shti261001}
}RIS
TY - JOUR TI - Embedding-Based Evaluation and Benchmarking Framework for Optimizing LLM Post-Processing of Medical Transcriptions from a Local Whisper System. AU - Wattar A AU - Christoph J AU - Demus C AU - Liegel P AU - Jäger C. PY - 2026 JO - Stud Health Technol Inform DO - 10.3233/shti261001 UR - https://doi.org/10.3233/shti261001 ER -
APA
A, W., J, C., C, D., P, L., & C., J. (2026). Embedding-Based Evaluation and Benchmarking Framework for Optimizing LLM Post-Processing of Medical Transcriptions from a Local Whisper System.. Stud Health Technol Inform. https://doi.org/10.3233/shti261001
Source records
- europe-pmc · retrieved 2026-09-25T06:17:33.712Z