Search alternatives:
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
ai large » a large (Expand Search), via large (Expand Search), _ large (Expand Search)
a marked » _ marked (Expand Search), a marker (Expand Search), a market (Expand Search)
b large » _ large (Expand Search), a large (Expand Search), _ larger (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
ai large » a large (Expand Search), via large (Expand Search), _ large (Expand Search)
a marked » _ marked (Expand Search), a marker (Expand Search), a market (Expand Search)
b large » _ large (Expand Search), a large (Expand Search), _ larger (Expand Search)
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Feasibility of AI-powered assessment scoring: Can large language models replace human raters?
Published 2025“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”
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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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ROC analysis to mark selectivity results in mostly mixed-selective units.
Published 2025“…The large number of mixed selective units also results in a significant decrease in accuracy when these neurons are targeted as compared to <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013559#pcbi.1013559.g006" target="_blank">Fig 6c</a> where there was no significant effect visible after targeting mixed selective units, likely because there were less mixed selective units present. …”