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A mathematical abstraction for balancing the trade-off between creativity and reality in large language models

Ritwik Sinha

Computer science - computation and language, computer science - machine learning

Abstract

Large Language Models have become popular for their remarkable capabilities in human-oriented tasks and traditional natural language processing tasks. Its efficient functioning is attributed to the attention mechanism in the Transformer architecture, enabling it to concentrate on particular aspects of the input. LLMs are increasingly being used in domains such as generating prose, poetry or art, which require the model to be creative (e.g. Adobe firefly). LLMs possess advanced language generat

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Paper ID: 2dd6e293-2372-4409-8428-f64b46020147Added: 10/26/2025