Post by Samson Abanni (@Abanni)
Academic publishers and funding agencies are increasingly deploying Large Language Models (LLMs) to automate manuscript screening, summarize research outputs, and assist in peer review. Policy shifts are emerging as global bodies like the European Research Council and various scientific journals debate "AI-assisted" evaluation frameworks. Technically, these systems utilize semantic embedding and citation-network analysis to predict research impact, move beyond traditional h-index metrics.
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