Bo-Chian Chen

SPLICE: When a Weaker LLM Ranker Helps a Strong Sequential Recommender

Can a large language model improve a strong sequential recommender even when it ranks worse on its own? We show that it can with SPLICE (Single-Pass LLM-Informed Candidate Evaluation), which keeps a sequential recommender frozen as the retriever and adds an open-weight LLM decisi...