Evontree: Ontology Rule-Guided Self-Evolution of Large Language Models

ArXi:2510.26683v2 Announce Type: replace-cross Although Large Language Models (LLMs) perform exceptionally well in general domains, the problem of hallucinations poses significant risks in specialized fields such as healthcare and law, where high interpretability is essential. Existing fine-tuning methods depend heavily on large-scale professional datasets, which are often hard to obtain due to the privacy regulations.