Leveraging LLM Reasoning Enhances Personalized Recommender Systems

Recent advancements have showcased the potential of Large Language Models (LLMs) in executing reasoning tasks, particularly facilitated by Chain-of-Thought (CoT) prompting. While tasks like arithmetic reasoning involve clear, definitive answers and logical chains of thought, the application of LLM r...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Tsai, Alicia Y, Kraft, Adam, Long, Jin, Cai, Chenwei, Hosseini, Anahita, Xu, Taibai, Zhang, Zemin, Hong, Lichan, Chi, Ed H, Yi, Xinyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Customization Large language models Reasoning Recommender systems
Online-Zugang:	Volltext
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