Sijin Lu

Hierarchical Dual Debiasing in LLM-based Recommendation

Large language models (LLM) have emerged as a pivotal technique for enhancing the performance of modern recommender systems. Despite enjoying many advantages, LLM-based recommender systems (LRS) exhibit more severe popularity bias than conventional recommender systems (CRS). Compounding this issue, current debiasing me...