Community
Institution-linked group for retrieval pipelines, literature tooling and multimodal discovery infrastructure.
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Operating style
Share papers, notes and implementation lessons that improve research navigation.
Linked to Massachusetts Institute of Technology
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Pinned papers
We combine publication metadata, author neighborhoods and dataset signals to improve retrieval quality for computational biology teams working across papers, code and experiments.
We study how follow edges, review quality, graph proximity and freshness can be blended into an explainable feed optimized for high-signal research discovery.
We study open-weight assistants that combine paper summaries, dataset cards and experiment context for biology teams.
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