Ishika Rathi

Inverse Turing Bench: Evaluating Language Models as Judges of Human vs. AI Dialogue

This work presents Inverse Turing Bench, a benchmark that evaluates LLMs and other models on their ability to differentiate humans and AI in multi-turn text and suggests that statistical approaches to detection have semantic blind spots, but semantic approaches are susceptible to persona-prompting.