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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.18 No.2
- 발행연도
- 2024.6
- 수록면
- 125 - 133 (9page)
- DOI
- 10.5626/JCSE.2024.18.2.125
이용수
초록· 키워드
오류제보하기
Artificial intelligence (AI) has made impressive progress in recent years. One notable development in this technology has been the emergence of large language models (LLMs) that are capable of generating and interpreting natural language data. These models have gained widespread attention for their remarkable text generation capabilities and improved user interface. At present, academic institutions face challenges associated with how to access vast amounts of information in an efficient manner. This problem is compounded by the increasing number of academic documents available, the dispersion of information in different repositories, and the time and resources required to search and filter this information, which represents a significant workload for professors and students. To address the issue, the current paper proposes an AI-powered assistant integrated with LLMs and a software system based on a microservices architecture. This assistant offers clear and contextually relevant answers to help make academic information retrieval processes more efficient. Altogether, this article proposes an AI-powered assistant that covers the integration aspects of both AI and software models. It also uses intelligent assistants to manage academic information, and is intended to serve as a model for future implementations.
목차
Abstract
I. INTRODUCTION
II. RELATED WORK
III. METHODOLOGY
IV. RESULTS AND DISCUSSION
V. CONCLUSION AND FUTURE WORK
REFERENCES
참고문헌 (24)
참고문헌 신청
M. R. King, “The future of AI in medicine: a perspective from a Chatbot,” Annals of Biomedical Engineering, vol. 51, pp. 291-295, 2023. https://doi.org/10.1007/s10439-022-03121-w
A. Pham Duy and H. Le Thanh, “A question-answering system for vietnamese public administrative services,” in Proceedings of the 12th International Symposium on Information and Communication Technology, Ho Chi Minh, Vietnam, 2023, pp. 85-92. https://doi.org/10.1145/3628797.3628965
D. Mhlanga, “Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning,” in FinTech and Artificial Intelligence for Sustainable Development. Cham, Switzerland: Springer, 2023, pp. 387-409. https://doi.org/10.1007/978-3-031-37776-1_17
H. Abu-Rasheed, M. H. Abdulsalam, C. Weber, and M. Fathi, “Supporting student decisions on learning recommendations: an LLM-based Chatbot with knowledge graph contextualization for conversational explainability and mentoring,” 2024 [Online]. Available: https://arxiv.org/abs/2401.08517.
J. Prather, P. Denny, J. Leinonen, B. A. Becker, I. Albluwi, M. E. Caspersen, et al., “Transformed by transformers: Navigating the AI coding revolution for computing education: an iticse working group conducted by humans,” in Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education, Turku, Finland, 2023, pp. 561-562. https://doi.org/10.1145/3587103.3594206
A. Pham Duy and H. Le Thanh, “A question-answering system for vietnamese public administrative services,” in Proceedings of the 12th International Symposium on Information and Communication Technology, Ho Chi Minh, Vietnam, 2023, pp. 85-92. https://doi.org/10.1145/3628797.3628965
D. Mhlanga, “Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning,” in FinTech and Artificial Intelligence for Sustainable Development. Cham, Switzerland: Springer, 2023, pp. 387-409. https://doi.org/10.1007/978-3-031-37776-1_17
H. Abu-Rasheed, M. H. Abdulsalam, C. Weber, and M. Fathi, “Supporting student decisions on learning recommendations: an LLM-based Chatbot with knowledge graph contextualization for conversational explainability and mentoring,” 2024 [Online]. Available: https://arxiv.org/abs/2401.08517.
J. Prather, P. Denny, J. Leinonen, B. A. Becker, I. Albluwi, M. E. Caspersen, et al., “Transformed by transformers: Navigating the AI coding revolution for computing education: an iticse working group conducted by humans,” in Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education, Turku, Finland, 2023, pp. 561-562. https://doi.org/10.1145/3587103.3594206
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