Search alternatives:
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
task decrease » teer decrease (Expand Search), ash decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
task decrease » teer decrease (Expand Search), ash decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a)
Published 2025“…<p>For all tasks, ophthalmologists’ accuracy is higher when the deep learning model makes the correct decision. …”
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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx
Published 2025“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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Network architectures for multi-agents task.
Published 2025“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
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Time(s) and GFLOPs savings of single-agent tasks.
Published 2025“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
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Scores vs Skip ratios on single-agent task.
Published 2025“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
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Win rate vs Skip ratios on multi-agents tasks.
Published 2025“…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. …”
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