Chumeng Jiang

SelfDR: Self-Distillation from Reasoning for LLM-Based Recommendation

Large Language Models (LLMs) have recently emerged as powerful backbones for recommendation. To better elicit their capabilities, reasoning has been widely incorporated to help LLMs interpret rich textual signals and improve recommendation accuracy. However, explicitly generating intermediate reasoning traces often inc...