A Note on Semantic Diffusion

Fuente: arXiv
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Main Authors: Ryjov, Alexander P., Egorova, Alina A.
Format: Preprint
Published: 2025
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author Ryjov, Alexander P.
Egorova, Alina A.
author_facet Ryjov, Alexander P.
Egorova, Alina A.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2505_09283
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Note on Semantic Diffusion
Ryjov, Alexander P.
Egorova, Alina A.
Human-Computer Interaction
03E72, 68T37, 94D05
I.2.8; I.2.10
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.
title A Note on Semantic Diffusion
topic Human-Computer Interaction
03E72, 68T37, 94D05
I.2.8; I.2.10
url https://arxiv.org/abs/2505.09283