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arXiv · 2505.09283

A Note on Semantic Diffusion

Alexander P. Ryjov·Alina A. Egorova
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Abstract

This paper provides an in-depth examination of the concept of semantic diffusion as a complementary instrument to large language models (LLMs) for design applications. Conventional LLMs and diffusion models fail to induce a convergent, iterative refinement process: each invocation of the diffusion mechanism spawns a new stochastic cycle, so successive outputs do not relate to prior ones and convergence toward a desired design is not guaranteed. The proposed hybrid framework - "LLM + semantic diffusion" - resolves this limitation by enforcing an approximately convergent search procedure, thereby formally addressing the problem of localized design refinement.

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Alexander P. Ryjov, Alina A. Egorova. 2025-05-14. A Note on Semantic Diffusion. https://arxiv.org/abs/2505.09283

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