LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance
arXiv:2604.15589v1 Announce Type: cross
Abstract: Existing research on large language models (LLMs) for automated code compliance has primarily focused on performance, treating the models as black boxes and overlooking how training decisions affect th…