title: Knowledge Navigator: LLM-guided Browsing Framework for Exploratory
    Search in Scientific Literature
summary: The exponential growth of scientific literature necessitates advanced tools
  for effective knowledge exploration. We present Knowledge Navigator, a system
  designed to enhance exploratory search abilities by organizing and structuring
  the retrieved documents from broad topical queries into a navigable, two-level
  hierarchy of named and descriptive scientific topics and subtopics. This
  structured organization provides an overall view of the research themes in a
  domain, while also enabling iterative search and deeper knowledge discovery
  within specific subtopics by allowing users to refine their focus and retrieve
  additional relevant documents. Knowledge Navigator combines LLM capabilities
  with cluster-based methods to enable an effective browsing method. We
  demonstrate our approach's effectiveness through automatic and manual
  evaluations on two novel benchmarks, CLUSTREC-COVID and SCITOC. Our code,
  prompts, and benchmarks are made publicly available.
paper_authors._id: 66d00bf870b7b22757a7aa02
paper_authors.name: Uri Katz
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-08-29T07:22:15.448Z
paper_authors._id: 604e1c120fe8ff3ec13d71e8
paper_authors.avatarUrl: /avatars/22f6463216904fb0ec8306e704432ab7.svg
paper_authors.fullname: Uri Katz
paper_authors.type: user
paper_authors.user: Uri-ka
paper_authors._id: 66d00bf870b7b22757a7aa03
paper_authors.name: Mosh Levy
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-08-29T07:22:13.518Z
paper_authors._id: 622f35a2bc2a392eaf21b3e7
paper_authors.avatarUrl: /avatars/383409ebd912ba90d8e7966e61a3910d.svg
paper_authors.fullname: Mosh Levy
paper_authors.type: user
paper_authors.user: Mosh
paper_authors._id: 66d00bf870b7b22757a7aa04
paper_authors.name: Yoav Goldberg
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-12-30T19:38:59.719Z
paper_authors._id: 676d5323dd95830fd94d675f
paper_authors.avatarUrl: /avatars/a8622e2a189a13c7b5a99177c3a87c37.svg
paper_authors.fullname: Yoav Goldberg
paper_authors.type: user
paper_authors.user: yoavgoldberg
paper_title: Knowledge Navigator: LLM-guided Browsing Framework for Exploratory
    Search in Scientific Literature
paper_summary: The exponential growth of scientific literature necessitates advanced tools
  for effective knowledge exploration. We present Knowledge Navigator, a system
  designed to enhance exploratory search abilities by organizing and structuring
  the retrieved documents from broad topical queries into a navigable, two-level
  hierarchy of named and descriptive scientific topics and subtopics. This
  structured organization provides an overall view of the research themes in a
  domain, while also enabling iterative search and deeper knowledge discovery
  within specific subtopics by allowing users to refine their focus and retrieve
  additional relevant documents. Knowledge Navigator combines LLM capabilities
  with cluster-based methods to enable an effective browsing method. We
  demonstrate our approach's effectiveness through automatic and manual
  evaluations on two novel benchmarks, CLUSTREC-COVID and SCITOC. Our code,
  prompts, and benchmarks are made publicly available.
paper_ai_summary: Knowledge Navigator uses large language models and clustering methods to organize and navigate scientific literature efficiently.
paper_ai_keywords: LLM capabilities cluster-based methods Knowledge Navigator CLUSTREC-COVID SCITOC