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English(EN) Fudan researchers released HealthClaw, an open-source health agent that achieved 45.7% accuracy on its own synthetic benchmark. A simpler baseline—full-history

复旦大学发布HealthClaw健康代理,基准准确率达45.7%

复旦大学的研究人员开发了HealthClaw,一个开源的健康代理。该代理在其自行创建的合成基准测试中达到了45.7%的准确率。然而,一个使用完整历史提示的更简单的基线方法在准确率方面表现更好,这突显了此类系统中隐私和记忆之间的权衡。 AI

影响 此次发布凸显了医疗保健领域专业AI代理的持续发展,以及在平衡隐私和有效记忆方面的挑战。

排序理由 该集群描述了一个开源健康代理的发布及其基准性能,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

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复旦大学发布HealthClaw健康代理,基准准确率达45.7%

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该集群描述了一个开源健康代理的发布及其基准性能,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]
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  1. Mastodon — mastodon.social TIER_1 English(EN) · schuler ·

    复旦大学研究人员发布HealthClaw,一个开源健康代理,在其自有合成基准测试中达到45.7%的准确率。一个更简单的基线——完整历史

    Fudan researchers released HealthClaw, an open-source health agent that achieved 45.7% accuracy on its own synthetic benchmark. A simpler baseline—full-history prompting—scored higher on accuracy. The main takeaway: the privacy-memory tradeoff is real. https://www. implicator.ai/…