A few-shot learning approach with similarity-based prompt engineering for fine-tuning LLMs in closed-domain conversational AI
Crossref DOI link: https://doi.org/10.1007/s10115-026-02743-z
Published Online: 2026-04-21
Published Print: 2026-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Esfandiari, Nura
Kiani, Kourosh
Rastgoo, Razieh
Text and Data Mining valid from 2026-04-21
Version of Record valid from 2026-04-21
Article History
Received: 5 September 2025
Revised: 4 February 2026
Accepted: 19 March 2026
First Online: 21 April 2026
Declarations
:
: The authors certify that they have no conflict of interest.