Conference Paper (preprint): “Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation”

Conference Paper (preprint): “Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation”

The preprint linked below was recently shared on arXiv. Title Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation Authors Genki Kusano NEC Corportation Kosuke Akimoto NEC Corportation Kunihiro Takeoka NEC Corportation Source via arXiv Abstract Large language models (LLMs) can perform recommendation tasks by taking prompts written in natural language as input. Compared to traditional methods such as…