Personalization (General)

Related topics:

• Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics
  Abstract—Large language models (LLMs) are revolutionizing the field of education by enabling personalized learning experiences tailored to individual student needs. In this paper, we introduce a frame…
• From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation
  Abstract. In dialogue generation, the naturalness of responses is crucial for effective human-machine interaction. Personalized response generation poses even greater challenges, as the responses must…
• PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes
  Large language model (LLM) personalization aims to align model outputs with individuals’ unique preferences and opinions. While recent efforts have implemented various personalization methods, a unifi…
• PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time
  This limitation motivates us to develop PersonaAgent, the first personalized LLM agent framework designed to address versatile personalization tasks. Specifically, PersonaAgent integrates two compleme…
• Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
  The concept of persona, originally adopted in dialogue literature, has re-surged as a promising framework for tailoring large language models (LLMs) to specific context (e.g., personalized search, LLM…
• Understanding the Role of User Profile in the Personalization of Large Language Models
  However, the precise role of user profiles and their effect mechanism on LLMs remains unclear. This study first confirms that the effectiveness of user profiles is primarily due to personalization inf…