Researchers have developed Beaver, an agent harness designed to extract structured information from scientific papers, even when evidence is spread across text, tables, and figures. This system aims to improve scientific curation by preserving provenance to supporting evidence and enabling an auditable workflow. Beaver combines a frontier agent with multimodal evidence tooling and task scaffolding, achieving a Gold-Referenced Attribute Score (GRAS) of 81.0, significantly outperforming other agents. The system's design emphasizes the importance of harness architecture for agent performance in complex scientific curation tasks. AI
IMPACT Enhances AI's ability to process and structure complex scientific information, potentially accelerating research.
RANK_REASON This is a research paper detailing a new agent harness for scientific curation. [lever_c_demoted from research: ic=1 ai=1.0]
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