arXiv Computer Vision
A Deterministic Evidence Layer for Vision-Language Autism Screening from Naturalistic Home Video
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SpecialEduBench: Benchmarking Vision-Language Models on Knowledge, Skill, and Attitude in Language Intervention for Autistic Children
SpecialEduBench is a new benchmark for vision‑language models that evaluates their pedagogical competence in language intervention for autistic children across knowledge, skill, and attitude dimensions. It contains 4,537 knowledge items, 200 skill items, and 68 attitude items derived from recorded interventions, with 192 response cells for attitude items that combine pressure and monitoring. Eight leading vision‑language models were tested, none achieving full performance, especially in honesty cells, indicating that current models still struggle with situated teaching tasks.
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Have I Seen Enough? Frozen Video-Language Models Encode Evidence Readiness
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Visual Grounding in Zero-Shot Vision-Language Control
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Have I Seen Enough? Frozen Video-Language Models Encode Evidence Readiness
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arXiv AI
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From Portraits to Pathology: Probing Diagnostic Overreach in Vision-Language Models
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arXiv AI
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GUARD: Grounding Uncertainty and Ablation-Based Risk Detection for Diffusion-Based VLAs
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