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One Is Not Enough: How People Use Multiple AI Models in Everyday Life

Pyo, Seunghwa et al.
arXiv (All) · Papers
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artificial-intelligencehuman-computer-interaction
People increasingly use multiple Multimodal Large Language Models (MLLMs) concurrently, selecting each based on its perceived strengths. This cross-platform practice creates coordination challenges: adapting prompts to different interfaces, calibrating trust against inconsistent behaviors, and navig
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