Qilin Qi

Continual Low-Rank Adapters for LLM-based Generative Recommender Systems

While large language models (LLMs) achieve strong performance in recommendation, they face challenges in continual learning as users, items, and user preferences evolve over time. Existing LoRA-based continual methods primarily focus on preserving performance on previous tasks, but this overlooks th…