Xujing Wang

GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems

Large Language Models (LLMs) are increasingly integral to recommendation systems, offering sophisticated language understanding and generation capabilities. However, their practical application is often hindered by challenges such as data sparsity, the generation of unreliable or hallucinated recomm