LLM

This study introduces the Author-Reviewer-Organizer (ARO) framework and presents a large-scale empirical assessment of indirect prompt injection in AI-assisted peer review, finding that hidden instructions are followed in 78% of cases for ChatGPT and 86% for Gemini.

A 20-hour course on prompt engineering methodologies and critical thinking about prompts, taught at the Master in Ethics and Artificial Intelligence, University of Torino.

This paper introduces BLACK, a novel methodology for prompting large language models and generative AI systems.