COPE: Continual Personalization of LLMs under Sparse User Feedback via User Embeddings and Self-Evaluation

Ruike Cao, Fugen Yao, Liang Dong +3

While Large Language Models (LLMs) have achieved remarkable results across various benchmarks, their alignment with normative values often results in homogenized responses that fai…