Merge and Branch: Efficient Tree-Structured Supervised Fine-Tuning of LLMs for Recommendation

Yunqin Zhu, Yao Xie, Liyang Shu +4

LLM-based generative recommendation reads long, text-rich interaction histories but generates only short semantic identifiers (SIDs). This asymmetry makes supervised fine-tuning in…