3 papers
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.NE2024
Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
Jill Baumann, Oliver Kramer
The advent of large language models (LLMs) such as ChatGPT has attracted considerable attention in various domains due to their remarkable performance and versatility. As the use o…