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arXiv · 2406.15871

Uncovering Hidden Intentions: Exploring Prompt Recovery for Deeper Insights into Generated Texts

Louis Give·Timo Zaoral·Maria Antonietta Bruno
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Abstract

Today, the detection of AI-generated content is receiving more and more attention. Our idea is to go beyond detection and try to recover the prompt used to generate a text. This paper, to the best of our knowledge, introduces the first investigation in this particular domain without a closed set of tasks. Our goal is to study if this approach is promising. We experiment with zero-shot and few-shot in-context learning but also with LoRA fine-tuning. After that, we evaluate the benefits of using a semi-synthetic dataset. For this first study, we limit ourselves to text generated by a single model. The results show that it is possible to recover the original prompt with a reasonable degree of accuracy.

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Louis Give, Timo Zaoral, Maria Antonietta Bruno. 2024-06-22. Uncovering Hidden Intentions: Exploring Prompt Recovery for Deeper Insights into Generated Texts. https://arxiv.org/abs/2406.15871

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