作者位次 #2/5ACL 2026Findings· Findings of ACL
Distilling LLM Reasoning into Dense Encoders: Bridging the Accuracy-Efficiency Gap in Recommendation
Donghee Han · Daeyoung Roh · A Young Kim · Hwanjun Song · Mun Yong Yi
摘要
Large Language Models (LLMs) have shown remarkable potential in recommendation systems but suffer from prohibitive inference latency. Existing distillation approaches typically target Small Language Models (SLMs) or Conventional Recommendation Models (CRMs), face a critical trade-off between comp...