Newest papers

Asking a Multimodal LLM Whether Someone Fell: Zero-Shot Screening of Low-Resolution Thermal Video in a Laboratory and an Occupied Home

Marcos Junca, Mauro Junca · 2026 · arXiv

DOI: 10.48550/arXiv.2610.29913 · open-access PDF

Chinese

热摄像头可以观察独自生活的老年人,而不捕捉面孔,多式大语言模型(LLMs)可以评估短视频而无需任务特定的培训。我们评估了生产的多式LLM, Gemini 3.8 闪电在0温度下,作为事件引发的下跌筛选仪的决策阶段,用来完全作为部署的原型使用它:每短热剪辑一次请求,当有一个时它的声音轨道,以及其前身 Gemini 3.7 闪电在相同的请求上。

Machine translation (Meta M2M100); the English original follows.

Abstract

Thermal cameras can watch over older people living alone without capturing faces, and multimodal large language models (LLMs) can judge a short video without task-specific training. We evaluate a production multimodal LLM, Gemini 3.8 Flash at temperature 0, as the decision stage of an event-triggered fall screener, used exactly as a deployed prototype uses it: one request per short thermal clip, with its sound track when there is one, and its predecessor Gemini 3.7 Flash on the same requests. On 438 staged falls and 563 non-fall windows that we located by hand in a public 32x24 thermal dataset

Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange