Chatbot Model

Chatbot models, primarily based on large language models (LLMs), aim to create conversational agents capable of engaging in natural and informative dialogue. Current research focuses on improving evaluation methodologies to better assess chatbot capabilities beyond basic fluency and relevance, exploring the use of LLMs themselves for tasks like annotation and data analysis, and investigating methods to enhance user engagement and mitigate issues like toxicity and bias. These advancements have significant implications for various fields, including education, healthcare, and industry, by providing efficient and effective tools for information access, task automation, and human-computer interaction.