2025
SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models
EMNLP 2025
Designing effective prompts is essential to guiding large language models (LLMs) toward desired responses. Automated prompt engineering aims to reduce reliance on manual efforts by streamlining the design, refinement, and optimization of natural language prompts. This paper proposes an optimal learn