Personalization (General)

Source papers 10

The Arxiv papers behind this sub-topic. Links may take you off-site to arxiv.org.

• 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…
• Capturing Individual Human Preferences with Reward Features
  Reinforcement learning from human feedback usually models preferences using a reward function that does not distinguish between people. We argue that this is unlikely to be a good design choice in con…
• 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…
• Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
  We propose Rec-R1, a general reinforcement learning framework that bridges large language models (LLMs) with recommendation systems through closed-loop optimization. Unlike prompting and supervised fi…
• Reflections and New Directions for Human-Centered Large Language Models
  Large Language Models (LLMs) are increasingly shaping the private and professional lives of users, with numerous applications in business, education, finance, healthcare, law, and science. With this r…
• 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…
• Useful Memories Become Faulty When Continuously Updated by LLMs
  Learning from past experience benefits from two complementary forms of memory: episodic traces—raw trajectories of what happened—and consolidated abstractions distilled across many episodes into reusa…