Schulhoff, Sander

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Schulhoff, S., Ilie, M., Balepur, N., Kahadze, K., Liu, A., Si, C., Li, Y., Gupta, A., Han, H., Schulhoff, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 118

Gymnasium

Towers, M., Terry, J. K., Kwiatkowski, A., Balis, J. U., Cola, G., Deleu, T., Goulão, M., Kallinteris, A., KG, A., Krimmel, M., et al. (2024) · Zenodo

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 77

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition

Schulhoff, S., Pinto, J., Khan, A., Bouchard, L.-F., Si, C., Anati, S., Tagliabue, V., Kost, A., Carnahan, C., & Boyd-Graber, J. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 54

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition

Schulhoff, S., Pinto, J., Khan, A., Bouchard, L.-F., Si, C., Anati, S., Tagliabue, V., Kost, A. L., Carnahan, C., & Boyd-Graber, J. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 4