Distilling large language models for code generation via ranking supervision.
- DOI
- 10.1016/j.neunet.2026.109437
- Published
- 2026 Jul 31
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109437,
title = {Distilling large language models for code generation via ranking supervision.},
author = {Ding Z and Ji H and Pan S and Chi M},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109437},
url = {https://doi.org/10.1016/j.neunet.2026.109437}
}RIS
TY - JOUR TI - Distilling large language models for code generation via ranking supervision. AU - Ding Z AU - Ji H AU - Pan S AU - Chi M PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109437 UR - https://doi.org/10.1016/j.neunet.2026.109437 ER -
APA
Z, D., H, J., S, P., & M, C. (2026). Distilling large language models for code generation via ranking supervision.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109437
Source records
- pubmed · retrieved 2026-09-26T10:14:39.420Z