Establishing best practices in large language model research: an application to repeat prompting
The establishment of best practices for LLM research is urgently needed, as demonstrated in this case where accounting for repeat prompting in analyses was critical for accurate study conclusions.
Authors
- Michael Baiocchi (ORCID: https://orcid.org/0000-0002-7571-5268)
- Jonathan H. Chen (ORCID: https://orcid.org/0000-0002-4387-8740)
- Robert J. Gallo (ORCID: https://orcid.org/0000-0002-2601-0173)
- Thomas Savage (ORCID: https://orcid.org/0000-0003-4828-5802)
Institutions
- VA Palo Alto Health Care System (US)
- Stanford Medicine (US)
- Center for Innovation (US)
- Stanford University (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1093/jamia/ocae294
- Citations
- 3
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 1.04
Funders
- Gordon and Betty Moore Foundation
- American Heart Association
- Stanford Bio-X
- National Institute of Allergy and Infectious Diseases
- National Center for Advancing Translational Sciences