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Kurate.org

AI-powered scientific paper rankings. Three LLMs judge which preprints have the highest potential impact across Robotics, Game Theory, Economics, Physics, and more.

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Kurate.org is an experimental platform that uses three large language models to evaluate and rank scientific preprints according to their projected impact. The system processes papers from a range of disciplines—including robotics, game theory, economics, and physics—and assigns scores that reflect the models’ assessment of each work’s significance and novelty. By aggregating the judgments of multiple LLMs, Kurate.org aims to surface preprints that are likely to influence their fields.

The tool is intended for researchers, scholars, and anyone who follows the latest developments in scientific literature and wants a data‑driven way to prioritize reading. It presents a ranked list of papers, allowing users to focus on those identified as having the highest potential impact without manually sifting through large archives.

What distinguishes Kurate.org is its reliance on multiple AI judges rather than a single model, providing a consensus‑based ranking across diverse domains. The approach is experimental, emphasizing AI‑generated insight into preprint relevance while remaining transparent about its methodology.

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