Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration
This work addresses the need for more accurate and professional dialogue systems in education and psychological counseling, though it appears incremental as it combines existing methods like intent classification and retrieval-enhanced models.
The paper tackled the problem of existing intelligent dialogue systems being limited to single domains and lacking accuracy in handling both educational and psychological issues by proposing a multi-agent system that integrates educational and psychological counseling functions, resulting in a system that provides accurate educational Q&A and psychological support services.
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.