Diversity in Large Language Models under Supervised Fine-Tuning
arXiv:2605.00195v1 Announce Type: new
Abstract: Supervised Fine-Tuning (SFT) is essential for aligning Large Language Models (LLMs) with user intent, yet it is believed to suppress generative diversity. Although this reduction is frequently referenced…