The Prompt Report: A Systematic Survey of Prompting Techniques
<|reference_start|>The Prompt Report: A Systematic Survey of Prompting Techniques: Generative Artificial Intelligence (GenAI) systems are being increasingly deployed across all parts of industry and research settings. Developers and end users interact with these systems through the use of prompting or prompt engineering. While prompting is a widespread and highly researched concept, there exists conflicting terminology and a poor ontological understanding of what constitutes a prompt due to the area's nascency. This paper establishes a structured understanding of prompts, by assembling a taxonomy of prompting techniques and analyzing their use. We present a comprehensive vocabulary of 33 vocabulary terms, a taxonomy of 58 text-only prompting techniques, and 40 techniques for other modalities. We further present a meta-analysis of the entire literature on natural language prefix-prompting.<|reference_end|>
@article{schulhoff2024the,
    title={The Prompt Report: A Systematic Survey of Prompting Techniques},
    author={Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze,
  Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien
  Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta
  Agrawal, Chau Pham, Gerson Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava,
  Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe
  Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal
  Anadkat, Alexander Hoyle, Philip Resnik},
    journal={arXiv preprint arXiv:2406.06608},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.06608},
    primaryClass={cs.CL cs.AI}
}