Content Reconstruction: The Evolution of Texts through Semantic Networks and LLMs

11 Pages Posted: 15 Oct 2024

See all articles by Dmitry Lande

Dmitry Lande

National Technical University of Ukraine - Igor Sikorsky Kyiv Polytechnic Institute

Oleh Humeniuk

National Technical University of Ukraine - Igor Sikorsky Kyiv Polytechnic Institute

Date Written: September 09, 2024

Abstract

This paper presents a novel methodology for generating texts with new meanings through the modification of semantic networks constructed using large language models (LLMs). The approach involves building a semantic network from an initial text, modifying this network by adding and removing nodes and connections, and then generating new texts based on the modified network. The paper outlines the mathematical model, application scenarios, prompts for implementation, and methods for evaluating the generated texts.

Keywords: Large language models, Text generation, AI content creation, Semantic networking, Text reconstruction

Suggested Citation

Lande, Dmytro and Humeniuk, Oleh, Content Reconstruction: The Evolution of Texts through Semantic Networks and LLMs (September 09, 2024). Available at SSRN: https://ssrn.com/abstract=4951516 or http://dx.doi.org/10.2139/ssrn.4951516

Dmytro Lande (Contact Author)

National Technical University of Ukraine - Igor Sikorsky Kyiv Polytechnic Institute ( email )

Oleh Humeniuk

National Technical University of Ukraine - Igor Sikorsky Kyiv Polytechnic Institute ( email )

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