Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning

Shanle Zheng, Keqin Bao, Jizhi Zhang +3

LLM-based recommender systems have made significant progress; however, the deployment cost associated with the large parameter volume of LLMs still hinders their real-world applica…