Author

Cameron R. Jones

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#natural language process... Jun 2026

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.

William W. Hager, Ishika Rathi, Masum Hasan et al. · arXiv.org · 0 citations

#artificial intelligence Jun 2026

Implicit vs. Explicit Prompting Strategies for LVLMs in Referential Communication

Two recent studies \citep{jones2026llms, zeng2026lvlms} reach apparently contradictory conclusions about whether large vision-language models (LVLMs) can coordinate similarly to humans on efficient referring expressions. We control for task differences between the studies while directly comparing their prompting styles...

Peter Zeng, Amie Paige, Wei-Ling Li et al. · arXiv.org · 0 citations