CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models
Large language models (LLMs) have facilitated significant strides in generating conversational agents, enabling seamless, contextually relevant dialogues across diverse topics. However, the existing LLM-driven conversational agents have fixed personalities and functionalities, limiting their adaptab...
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Main Authors | , , , , |
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Format | Journal Article |
Language | English |
Published |
23.02.2024
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Subjects | |
Online Access | Get full text |
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