This paper compares five confidence methods across four Qwen and Gemma activation oracles. Forced choice is most accurate when possible answers are known. Bootstrap agreement is calibrated for free text without annotated data.
This paper tests the stability and human alignment of virtual patient profiles built from anonymized social media histories. Results vary across models, prompts, and clinical domains.
This paper studies indirect prompt injection in AI assisted peer review across 42,000 chatbot outputs. Hidden instructions alter assessments and can support organizer integrity tests.
This paper tests whether large language models can extend lexical knowledge bases. Human evaluators accepted 86.7% of novel concepts. Automatic overlap metrics missed many valid additions.
This paper introduces PsychoSafe, a refusal framework grounded in evidence-based intervention strategies, and evaluates prompting and fine-tuning approaches for psychologically informed LLM refusals.
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.