{"version.version":"0.0.7","version.cm_url":"https://github.com/ceurws/ceur-spt","spt.html_url":"/Vol-4164/short6.html","spt.description":null,"spt.id":"Vol-4164/short6","spt.wikidataid":null,"spt.title":"Approaching LLM Alignment using Agents with RAG","spt.pdfUrl":"https://ceur-ws.org/Vol-4164/short6.pdf","spt.volume":{"number":4164,"acronym":"ProfIT AI 2025","wikidataid":null,"title":"Proceedings of the 5th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2025) 2025","description":null,"url":null,"date":"2026-02-07","dblp":null,"k10plus":null,"urn":null},"spt.session":null,"cvb.id":"Vol-4164/short6","cvb.title":"Approaching LLM Alignment using Agents with RAG","cvb.type":null,"cvb.position":null,"cvb.pagesFrom":null,"cvb.pagesTo":null,"cvb.authors":"Vladyslav Fliahin,Olena Turuta,Oleksii Turuta","cvb.vol_number":"4164","cvb.pdf_name":"short6.pdf","cvb.pages":"207-215","cvb.fail":null}