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共 1 条相关 AI 资讯
8月26日
11:03
11:03官方账号arXiv cs.AI@Hongyu Guo, Zhiyu Zheng, Zhao Cao
Large language model agents in direct corpus interaction (DCI) face evidence blindness, where reachable evidence remains unusable. AtlasNav, a persistent multi-view corpus-navigation framework, improves navigation efficiency by 30.21% on BrowseComp-Plus, achieving 92.05% strict accuracy. It organizes the corpus into a Corpus Atlas for adaptive navigation, enhancing the effectiveness of limited interaction. The framework is effective across different corpus organizations and scales, demonstrating its versatility in agentic search.
论文AtlasNavcorpus-navigationevidence-blindness

推荐理由:AtlasNav框架通过将语料库组织成Atlas Atlas,提高了直接语料库交互中的导航效率,相比之前的动态工作空间方法,在BrowseComp-Plus上实现了30.21%的在线推理成本降低,值得一看。
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