Fine-tuning Gemini 2.5 Pro with LoRA on 400 home videos improves per-feature agreement with clinicians by 40% and zero-shot ASD diagnosis F1 by 53% on held-out data, with classifier pipelines reaching 77% accuracy.
URL https://www.techrxiv.org/doi/abs/ 10.36227/techrxiv.177220111.17351887/v1
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Fine-tuning a multimodal large language model for clinician-grade autism behavioral scoring from short home videos
Fine-tuning Gemini 2.5 Pro with LoRA on 400 home videos improves per-feature agreement with clinicians by 40% and zero-shot ASD diagnosis F1 by 53% on held-out data, with classifier pipelines reaching 77% accuracy.