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

Ogawa, Kyoko et al.
arXiv (All) · Papers
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artificial-intelligenceneural-and-evolutionary-computing
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 code, are structured artifacts; we use artifact for short. We propose T
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