新闻
WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- WearableQA benchmark released with 4,084 multiple-choice questions testing AI reasoning over real wearable sensor data from 200 users spanning up to 500 days.
- 为何重要
- Engineers building health AI systems need this to evaluate whether language models can interpret longitudinal physiological measurements and integrate multiple sensor signals.
- 注意
- Most tested models score below 60 percent accuracy; benchmark remains unsolved. Questions may not generalize beyond the specific population and devices used.
- reasoning
- eval
- benchmark
- phi
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