SEMbeddings: how to evaluate model misfit before data collection using large-language models
As LLMs become increasingly precise and new fine-tuned models are released, these procedures have the potential to deliver more reliable results, potentially transforming the way new questionnaires are developed.
Authors
- Enrico Toffalini (ORCID: https://orcid.org/0000-0002-1404-5133)
- Tommaso Feraco (ORCID: https://orcid.org/0000-0002-8920-5330)
Institutions
- University of Padua (IT)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2025-02-04
- DOI
- https://doi.org/10.3389/fpsyg.2024.1433339
- Citations
- 1
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 5.34
Funders
- Università degli Studi di Padova