Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QA

  • 类型:arxiv
  • 标识:2610.13128
  • 链接:http://arxiv.org/abs/2610.13128v1
  • 主分类:agent
  • 形态:method
  • 被引:0
  • 被引来源:Semantic Scholar
  • S2被引:0
  • 影响力被引:0
  • TLDR:KnowForge, a pipeline separated by job: a hybrid-retrieval knowledge-point index; a Locator agent that can only search; a Locator agent that can only search; a code-scheduled bridge judge that forces the missing second hop; a typed, size-bounded evidence pool that merges every search's ranking; a Deep Reader agent that can only read text, images and tables; and a synthesizer with a format checker.
  • 副分类:rag
  • 待LLM分类:否
  • 标题中文:Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QA
  • TLDR中文:KnowForge,一个按职责分离的流水线:混合检索的知识点索引;只能搜索的 Locator agent;由代码调度的桥接判定器,用于强制补齐缺失的第二跳;类型化、大小有界的证据池,用于融合各次搜索的排序;只能阅读文本、图像和表格的 Deep Reader agent;以及带格式检查器的合成器。
  • 来源文件:
  • /inbox/tom/_candidates/2026-10-13-rag-retrieval-reranking-candidates.json
  • [S2 enrich]