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README.md
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@@ -11,4 +11,8 @@ This paper introduces Graph-PReFLexOR (Graph-based Preference-based Recursive La
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By combining in -situ symbolic and contextual inference, the framework generates its own structured representation on the fly and thereby captures complex interdependencies and translates them into domain-specific interpretable insights. Demonstrations include generating and expanding scientific hypotheses and fabricating dynamic transformations in graph topologies, with applications in materials science and engineering, and multi-disciplinary relationship discovery.
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For instance, Graph-PReFLexOR demonstrates creative reasoning by generating poetic representations that blend abstract concepts like `thin places'--mythological notions of blurred boundaries--into scientific frameworks such as protein biomaterials engineering. Through its knowledge garden growth strategy, the model dynamically integrates insights from diverse domains, enabling the discovery of profound interdisciplinary connections that link art, philosophy, and science.
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By combining in -situ symbolic and contextual inference, the framework generates its own structured representation on the fly and thereby captures complex interdependencies and translates them into domain-specific interpretable insights. Demonstrations include generating and expanding scientific hypotheses and fabricating dynamic transformations in graph topologies, with applications in materials science and engineering, and multi-disciplinary relationship discovery.
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For instance, Graph-PReFLexOR demonstrates creative reasoning by generating poetic representations that blend abstract concepts like `thin places'--mythological notions of blurred boundaries--into scientific frameworks such as protein biomaterials engineering. Through its knowledge garden growth strategy, the model dynamically integrates insights from diverse domains, enabling the discovery of profound interdisciplinary connections that link art, philosophy, and science.
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