# T-GADE: Thermodynamical Generative-AI-Driven Evolution of LLM Artifacts

**Published:** September 14, 2026
**Author:** Kyoko Ogawa, Naoki Mori
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/t-gade-thermodynamical-generative-ai-driven-evolution-of-llm-artifacts

arXiv:2609.12286v1 Announce Type: new Abstract: Integrating evolutionary computation and large language models (LLMs) requires control of population diversity as well as generative capability. Among LLM outputs, those with explicit structure, such as a description paired with…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2609.12286)

**Tags:** #arXiv

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