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Christopher Leckie

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#artificial intelligence Preprint Sep 2026

VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation

The VEX-Bench is introduced, a unified benchmark for evaluating the verification complexity of LLM-generated misinformation, as perceived during screening, across models and generation methods, and shows that no single method dominates all dimensions, underscoring the need for multi-dimensional evaluation.

Hanxun Huang, Yu-Tao Wu, Qi-Zhou Wang et al. · 0 citations

Towards Detecting AI-Assisted Responses in Online Surveys

An initial benchmark dataset is introduced, namely ASURRE, for AI-assisted survey participation to capture usage strategies ranging from full generation and revision to persona-grounded agentic completion, and it is shown that agentic completion cannot fully replicate respondent-level behaviour and leaves distinctive b...

Qi-Zhou Wang, B. Mamaev, Christopher Leckie · 0 citations

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