Analyzing technical documents with Deep Review
Following successful deployments across 16,000+ submissions at STOC, ICML, NeurIPS, and ICLR, Deep Review is launching publicly.
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Key points
- It’s expanding from deep mathematical and scientific peer review to provide rigorous, grounded verification across knowledge documents, including Google Docs and presentations.
- Today, we’re excited to announce the public release of Deep Review, an agentic AI system engineered to provide rigorous feedback and technical verification on complex documents.
- Deep Review represents the evolution of our Paper Assistant Tool (PAT) — an experimental initiative developed to help researchers stress-test manuscripts prior to conference submission.
- With this release, Deep Review is now accessible worldwide:
Sources (1)
- [1]Analyzing technical documents with Deep ReviewGoogle Research Blog · Oct 14, 04:14 PM
Following successful deployments across 16,000+ submissions at STOC, ICML, NeurIPS, and ICLR, Deep Review is launching publicly.
It’s expanding from deep mathematical and scientific peer review to provide rigorous, grounded verification across knowledge documents, including Google Docs and presentations.
Extractive summary: sentences quoted from the sources.
Hype check
Independently evaluated3 independent looks since
- Evaluation · Oct 15, 2026From Research Goals to Scientific Closure: Evaluating Agents Through Evidence-Supported Physics Research
- Evaluation · Oct 15, 2026OmicsBench: a long-horizon multi-turn benchmark of AI agents on research-study-scale bioinformatics
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- Follow-up · Oct 14, 2026Build self-improving document processing using Amazon Bedrock AgentCore
- Follow-up · Oct 14, 2026The Wealth of Agents: Scaling Agentic AI Across Developers
- Follow-up · Oct 14, 2026Google says self-improving AI isn't anywhere close
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