Meta-Prompting with Open-Source Language Models for Zero-Shot Scene Classification in Remote Sensing
This paper investigates whether meta-prompting with large language models (LLMs) can improve zero-shot scene classification in RS by automatically generating semantically rich class descriptions and highlights the potential of open-source LLMs as scalable prompt generators for zero-shot remote-sensing recognition.