Comparative Study and Framework for Automated Summariser Evaluation: LangChain and Hybrid Algorithms

• URL: http://arxiv.org/abs/2310.02759v1
• Date: Wed, 4 Oct 2023 12:14:43 GMT
• Title: Comparative Study and Framework for Automated Summariser Evaluation: LangChain and Hybrid Algorithms
• Authors: Bagiya Lakshmi S, Sanjjushri Varshini R, Rohith Mahadevan, Raja CSP Raman
• Abstract summary: The research is concentrated on the user's understanding of a given topic. The focus is on summarizing a PDF document and gauging a user's understanding of its content.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Automated Essay Score (AES) is proven to be one of the cutting-edge technologies. Scoring techniques are used for various purposes. Reliable scores are calculated based on influential variables. Such variables can be computed by different methods based on the domain. The research is concentrated on the user's understanding of a given topic. The analysis is based on a scoring index by using Large Language Models. The user can then compare and contrast the understanding of a topic that they recently learned. The results are then contributed towards learning analytics and progression is made for enhancing the learning ability. In this research, the focus is on summarizing a PDF document and gauging a user's understanding of its content. The process involves utilizing a Langchain tool to summarize the PDF and extract the essential information. By employing this technique, the research aims to determine how well the user comprehends the summarized content.

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