Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion (2025.emnlp-main)
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| Challenge: | Existing methods rely on a large number of outputs for training and inference, and they can produce garbled text. |
| Approach: | They propose a training-free framework that reconstructs prompts using only a limited number of text outputs from a language model. |
| Outcome: | The proposed framework generates high-quality prompt recovery and more semantically and functionally aligned with the originals than current state-of-the-art methods. |
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