Yujuan Ding
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This paper introduces a novel attack, RA-ICA, that targets RAG-enhanced LLMs by poisoning external knowledge bases to drastically increase inference costs, achieving up to a 13.12x increase in token consumption.
This paper introduces a novel framework, CFALR, that combines collaborative filtering and large language models for personalized outfit recommendation.
Papers
CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation
Yujuan Ding, Junrong Liao, Yunshan Ma, Yi Bin +3 more
This paper introduces a novel framework, CFALR, that combines collaborative filtering and large language models for personalized outfit recommendation.