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New agent harness Beaver improves scientific paper curation

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New agent harness Beaver improves scientific paper curation

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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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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sheng Zhang, Qin Liu, Renqian Luo, Shufang Xie, Reuben Tan, Sean Hayes, Gregory Bryman, Wendong Ge, Ruilian Zhang, Oluwaseun Egbelowo, Kelly Yee, Hoifung Poon ·

    Building Agent Harnesses for Scientific Curation from Multimodal Sources

    arXiv:2606.21005v2 Announce Type: replace Abstract: Scientific discovery workflows often depend on structured curation from the literature. This is difficult for current agents because the key evidence is scattered across long text, dense tables, and figures, and the final record…

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