PALRec: Large Language Model-Based Sequential Recommendation with Parameter-Preserving Augmentation
PALRec is proposed, a parameter-preserving augmentation framework that equips an LLM with recommendation capabilities while keeping its original parameters fixed and consistently outperforms fully fine-tuned counterparts in recommendation accuracy while preserving the LLM’s pre-trained knowledge.
Hyunsoo Na, Minseok Gang, Sang-goo Lee et al.
· ACM Transactions on Informat... · 0 citations