Author

Min-Di Ruan

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#artificial intelligence Preprint Oct 2026

Conditional Accuracy Profiles: Diagnosing LLM Judges across Deployment Conditions

LLM-as-judge is now a standard tool for scalable evaluation, but judge performance is still often summarized by a single accuracy number. This aggregate view hides the deployment conditions under which a judge succeeds or fails. We introduce \textbf{Conditional Accuracy Profiling} (CAP), a post-hoc diagnostic framework...

Wen-Qi Li, Bin Liu, Min-Di Ruan et al. · 0 citations

#artificial intelligence Preprint Oct 2026

A Deterministic Evidence Layer for Vision-Language Autism Screening from Naturalistic Home Video

Autism spectrum disorder (ASD) is diagnosed through specialist observation of a child's social behavior, and access to that expertise is the bottleneck for early identification. Vision-language models (VLMs) describe a child's behavior from video well; the verdict drawn from the description is unstable: at temperature~...

Wen-Qi Li, Min-Di Ruan, Chuan-Bo Hu et al. · 0 citations