Computer Science
PhD
Experimental study to enhance the reliability of large Language Models via Retrieval-Augmented Generation in Academic Research Assistance
Research Overview
The research is an experimental study conducted to investigate the functioning of Retrieval-Augmented Generation (RAG) to improve reliability, accuracy and factual consistency of AI-based responses in research, in comparison to conventional large language models. The study will use comparative performance evaluation and benchmark datasets.
What is included in this framework?
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Editable Word Document
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Recent Peer-Reviewed Sources
Includes a literature review utilizing high-impact academic journals.
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Methodology Design
Detailed justification of the chosen research approach and data collection methods.
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Strict Academic Formatting
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