04:00
2026-09-16
arxiv.org
large-language-models
Fine-Tuning Fixes Mode Collapse and Over-Dispersion in LLMs
A new arXiv paper (2609.16454v1) finds that supervised fine-tuning (SFT) is not inherently biased toward mode collapse or its opposite, over-dispersion, in large language models. The authors derive a …