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on-device language models

Narrative intelligence for on-device language models: 1 tracked articles, claims, and spin patterns across AI and technology coverage.

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On-Device Language Models for Privacy-Preserving Stress Prediction: A Multimodal Evaluation on Mobile Health

A new arXiv preprint evaluates on-device language models (ODLMs) for zero-shot multimodal stress prediction on mobile devices, measuring accuracy, latency, and resource usage to assess feasibility for privacy-preserving mental health monitoring.

Spin 25% Claim Present in Source AI Risk Moderate

arXiv Machine Learning

Sep 14, 2026

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01 Lightweight sub-2B models achieve low latency with predictable resource usage for multimodal stress prediction on mobile devices.

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