Goal-Conditioned Supervised Learning for LLM Fine-Tuning.

arXiv:2605.16345v2 Announce Type: replace-cross Abstract: Large language models often require fine-tuning to better align their behavior with user intent at deployment. Existing approaches are commonly divided into online and offline paradigms. Online methods,