一作SIGIR 2026Oral· Information Retrieval (Full)
Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders
Jaehyun Lee · Sanghwan Jang · SeongKu Kang · Hwanjo Yu
摘要
Large language models (LLMs) have recently emerged as powerful training-free recommenders. However, their knowledge of individual items is inevitably uneven due to imbalanced information exposure during pretraining, a phenomenon we refer to as knowledge gap problem. To address this, most prior me...