Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration

Fuente: arXiv
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Auteurs principaux: Ni, Shiwen, Yang, Min
Format: Preprint
Publié: 2024
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author Ni, Shiwen
Yang, Min
author_facet Ni, Shiwen
Yang, Min
contents Intelligent dialogue systems are increasingly used in modern education and psychological counseling fields, but most existing systems are limited to a single domain, cannot deal with both educational and psychological issues, and often lack accuracy and professionalism when dealing with complex issues. To address these problems, this paper proposes an intelligent dialog system that combines educational and psychological counseling functions. The system consists of multiple AI agent, including security detection agent, intent identification agent, educational LLM agent, and psychological LLM agent, which work in concert to ensure the provision of accurate educational knowledge Q\&A and psychological support services. Specifically, the system recognizes user-input intentions through an intention classification model and invokes a retrieval-enhanced educational grand model and a psychological grand model fine-tuned with psychological data in order to provide professional educational advice and psychological support.
format Preprint
id arxiv_https___arxiv_org_abs_2412_03847
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration
Ni, Shiwen
Yang, Min
Computation and Language
Intelligent dialogue systems are increasingly used in modern education and psychological counseling fields, but most existing systems are limited to a single domain, cannot deal with both educational and psychological issues, and often lack accuracy and professionalism when dealing with complex issues. To address these problems, this paper proposes an intelligent dialog system that combines educational and psychological counseling functions. The system consists of multiple AI agent, including security detection agent, intent identification agent, educational LLM agent, and psychological LLM agent, which work in concert to ensure the provision of accurate educational knowledge Q\&A and psychological support services. Specifically, the system recognizes user-input intentions through an intention classification model and invokes a retrieval-enhanced educational grand model and a psychological grand model fine-tuned with psychological data in order to provide professional educational advice and psychological support.
title Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration
topic Computation and Language
url https://arxiv.org/abs/2412.03847