Preprint
Aug 2026
Training-Free LLM-Based Recommendation with Post-LLM Item Refinement Using Collaborative Signals
Large language models (LLMs) have shown promise for training-free recommendation, but LLM-generated user interests are often too broad for fine-grained item retrieval. Existing methods incorporate collaborative filtering (CF) signals in a pre-LLM manner through candidate reranking or prompt augmentation, yielding limit...
Kyungho Kim, Sunwoo Kim, Geon Lee et al.
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