10/3/25

Compound AI Systems: How Publisher AI Helps Researchers

Scholarly communication still runs on workflows built for 1999. They’re costly, slow, and brittle. Dustin Smith shares what we’ve learned building publisher specific AI systems: where generic chatbots fail in editorial contexts, and what purpose-built systems embedded in manuscript and peer-review workflows can do today.

Dustin Smith walks us through AI triage that flags scope/rigor issues and journal fit in minutes; citation/figure checks that catch problems early; and reviewer discovery that explains “why this reviewer.” He discusses how these capabilities shorten time-to-first-decision, reduce manual error, and improve the experience of editors, reviewers, and authors.

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Encoding of Spectra and Time Series

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Machine Learning for Reviewer-Proposal Matching in ALMA Distributed Peer Review