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cs.CL2024
Unlocking Structured Thinking in Language Models with Cognitive Prompting
Oliver Kramer, Jill Baumann
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 clarif…
cs.NE2024
Towards Explainable Evolution Strategies with Large Language Models
Jill Baumann, Oliver Kramer
This paper introduces an approach that integrates self-adaptive Evolution Strategies (ES) with Large Language Models (LLMs) to enhance the explainability of complex optimization pr…
cs.LG2024
Large Language Models for Tuning Evolution Strategies
Oliver Kramer
Large Language Models (LLMs) exhibit world knowledge and inference capabilities, making them powerful tools for various applications. This paper proposes a feedback loop mechanism…