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Reimagining research papers as interactive and reliable AI agents PRIMARY_TEXT
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FETCHED at 2026-09-29T05:01:08Z · https://www.nature.com/articles/s41586-026-11044-y?error=cookies_not_supported&code=4b945822-69c5-4e80-a53b-76e6710708ab · seq 25361
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SECTION {"section":"Abstract"} | Here we introduce Paper2Agent, an automated framework that converts research papers into artificial intelligence (AI) agents. |
TRANSCRIPTION {"section":"Abstract"} | The study introduces Paper2Agent, an automated framework that converts research papers into AI agents. It turns a paper’s manuscript, supplementary materials, datasets, code and workflows into active, agent-native knowledge rather than s... |
SECTION {"section":"Overview of Paper2Agent"} | Paper2Agent provides an automated workflow for converting a scientific paper into an agent. |
TRANSCRIPTION {"section":"Overview of Paper2Agent"} | Paper2Agent is a multi-agent AI system that transforms research papers into interactive AI agents with minimal human input. The generated agents are designed to be interactive and easy to use, allowing complex analyses through natural-la... |
SECTION {"section":"Large-scale evaluation of Paper2Agent"} | To test scalability, we processed three heterogeneous paper corpora end-to-end without manual cleanup, code modification or intervention |
TRANSCRIPTION {"section":"Large-scale evaluation of Paper2Agent"} | The authors evaluated Paper2Agent on three corpora: 100 computational-biology papers, 26 data- and discovery-focused papers, and 10 non-biology computational papers spanning AI, statistics, econometrics, game theory and astrophysics. Amo... |