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English(EN) CORE: Coarse-to-Fine Search with Context Management for Deep Research

CORE 增强器通过粗粒度到细粒度搜索改进深度研究代理

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出 CORE，一种新颖的无需训练的增强器，旨在提高深度研究代理回答复杂问题的能力。CORE 采用粗粒度到细粒度搜索策略并结合上下文管理，优化从大型文档语料库中检索相关信息。该方法解决了综合搜索段落与代理有限上下文窗口内简洁证据需求之间的权衡问题。在比较中，CORE 在多个基准和代理模型上展示了最先进的准确率和召回率。 AI

影响 提高了 AI 代理在复杂研究任务中的效率和准确性，可能改进信息检索系统。

排序理由 该集群描述了 arXiv 上发表的一篇新研究论文，详细介绍了一种改进 AI 代理的新颖方法。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

CORE 增强器通过粗粒度到细粒度搜索改进深度研究代理

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Research
该集群描述了 arXiv 上发表的一篇新研究论文，详细介绍了一种改进 AI 代理的新颖方法。
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2 independent sources
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Topics
paper, infra
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High
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1 days old
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Hoang Tran Vuong, Ngoc Quan Pham, Hung Bui, Fatih Porikli, Dat Quoc Nguyen ·

    CORE：具有上下文管理的粗粒度搜索，用于深度研究

    arXiv:2611.07859v1 Announce Type: cross Abstract: Deep research agents answer complex questions through repeated search. They rely on a harness that runs their tool calls and returns evidence to their context. This creates a trade-off: Search works best over long passages, which …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Dat Quoc Nguyen ·

    CORE: Coarse-to-Fine Search with Context Management for Deep Research

    Deep research agents answer complex questions through repeated search. They rely on a harness that runs their tool calls and returns evidence to their context. This creates a trade-off: Search works best over long passages, which give enough context for reliable semantic matching…

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