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Who Leads AI Research: ICLR 2026's Institutional Landscape
ICLR 2026으로 본 AI 연구 기관 지형도
Why it matters
This analysis solves a critical problem in tracking AI research trends: OpenReview author profiles often become outdated, listing researchers' current employers even for papers written elsewhere years ago. By extracting institutional affiliations directly from paper PDFs instead of relying on profile data, this dataset reveals which institutions are genuinely driving cutting-edge AI research in 2026. Understanding these institutional patterns helps identify the true competitive landscape and centers of excellence in AI innovation.
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ICLR 2026institutional affiliationPDF extractiontreemap visualizationOpenReview