Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers

Bingqian Li, Bowen Zheng, Xiaolei Wang +5

Large language models (LLMs) have shown great promise in recommender systems, where supervised fine-tuning (SFT) is commonly used for adaptation. Subsequent studies further introdu…