Chúc mừng nhóm Sinh viên ngành MMT&TTDL đã có bài báo được chấp nhận tại Hội nghị quốc tế International Conference on Smart Computing and Informatics (SCI 2026) được tổ chức vào 28-29/04/2026 tại Thành phố Hà Nội.
Tên bài báo: Developing a Student Mental Health Support Chatbot Using RAG Techniques and LLMOps Principles
– Sinh viên thực hiện:
- Lê Hữu Khánh – MMTT2022.2 – Đồng tác giả
- Võ Huỳnh Kiều Ngân – MMTT2022.2 – Đồng tác giả
- Vũ Quang Hậu – MMTT2024.1 – Đồng tác giả
– Giảng viên hướng dẫn: PGS. TS. Lê Trung Quân, ThS. Nguyễn Khánh Thuật và ThS. Nguyễn Văn Bảo.
Tóm tắt: This paper presents a mental health support chatbot for Vietnamese students, a group facing increasing academic and psychological pressures. The system employs a multi-agent architecture, where an Orchestrator Agent coordinates with a Retrieval-Augmented Generation (RAG) Agent via a custom Agent-to-Agent (A2A) protocol to handle complex queries. It integrates the Gemma-3-4B language model, the multilingual-e5-base embedding model, and a Qdrant vector database to ensure accurate and contextually appropriate responses. The system is managed under LLMOps principles with CI/CD, monitoring, and scalable deployment on Kubernetes. Experimental results on a Vietnamese psychological dataset show strong performance, achieving Hit Rate@K of 0.975, NDCG@K of 0.905, Context Recall of 0.898, Faithfulness of 0.709, and Answer Relevancy of 0.944. These results demonstrate the system’s effectiveness in delivering reliable and accessible mental health support for young users in Vietnam.
Homepage Hội nghị: https://sciconf.co/
Thông tin Hội nghị: 8th International Conference on Smart Computing and Informatics (SCI-2026) aims to provide a unified platform for cutting-edge, multidisciplinary research in the fields of smart computing and informatics. The conference theme emphasizes innovative paradigms in system knowledge, artificial intelligence, and sustainability, with a focus on delivering practical solutions to challenges in society, the environment, and industry. The scope further extends to exploring emerging computational techniques and knowledge transfer methodologies to optimize solutions across diverse domains, including science, technology, and healthcare. The conference proceedings will prioritize the publication of high-quality, original, and unpublished research contributions.
All accepted and registered papers from the main track and special sessions will be published in Springer’s Lecture Notes in Networks and Systems (LNNS) series, which is indexed in SCOPUS. For more details, visit: Springer LNNS. (https://www.springer.com/series/15179)
