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most citedLeveraging LLMs to Predict Affective States via Smartphone Sensor Features

2 citations · 3 across the 7 of their papers we have counts for

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cs.HC2026

Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots

Shiquan Zhang, Tianyi Zhang, Le Fang +3

With the rapid advancement of large language models (LLMs), mobile agents have emerged as promising tools for phone automation, simulating human interactions on screens to accompli…