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pro vyhledávání: '"Baumann, Jill"'
Autor:
Kramer, Oliver, Baumann, Jill
We propose cognitive prompting as a novel approach to guide problem-solving in large language models (LLMs) through structured, human-like cognitive operations such as goal clarification, decomposition, filtering, abstraction, and pattern recognition
Externí odkaz:
http://arxiv.org/abs/2410.02953
Autor:
Baumann, Jill, Kramer, Oliver
This paper introduces an approach that integrates self-adaptive Evolution Strategies (ES) with Large Language Models (LLMs) to enhance the explainability of complex optimization processes. By employing a self-adaptive ES equipped with a restart mecha
Externí odkaz:
http://arxiv.org/abs/2407.08331