Forecasting Fine-Tuning Break-Even Label Budgets in Text Classification from Frozen Embedding Geometry
- DOI
- 10.21203/rs.3.rs-10975833/v1
- Published
- 2026-09-21
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- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-10975833/v1,
title = {Forecasting Fine-Tuning Break-Even Label Budgets in Text Classification from Frozen Embedding Geometry},
author = {Emin Talip Demirkiran},
year = {2026},
doi = {10.21203/rs.3.rs-10975833/v1},
url = {https://doi.org/10.21203/rs.3.rs-10975833/v1}
}RIS
TY - JOUR TI - Forecasting Fine-Tuning Break-Even Label Budgets in Text Classification from Frozen Embedding Geometry AU - Emin Talip Demirkiran PY - 2026 DO - 10.21203/rs.3.rs-10975833/v1 UR - https://doi.org/10.21203/rs.3.rs-10975833/v1 ER -
APA
Demirkiran, E. T. (2026). Forecasting Fine-Tuning Break-Even Label Budgets in Text Classification from Frozen Embedding Geometry. https://doi.org/10.21203/rs.3.rs-10975833/v1
Source records
- crossref · retrieved 2026-09-25T22:27:11.793Z