Xiao-Lin Zheng

Learning Robust Personalized Prompts for LLM-Driven Sequential Recommendation

LLM-driven sequential recommendation formulates next-item prediction as autoregressive generation conditioned on natural-language prompts. However, minor wording changes in semantically equivalent prompts can cause substantial performance fluctuations, undermining robustness and requiring costly manual prompt engineeri...