Knowledge Navigator: LLM-guided Browsing Framework for Exploratory
  Search in Scientific Literature
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.
66d00bf870b7b22757a7aa02
Uri Katz
claimed_verified
2024-08-29T07:22:15.448Z
604e1c120fe8ff3ec13d71e8
/avatars/22f6463216904fb0ec8306e704432ab7.svg
Uri Katz
user
Uri-ka
66d00bf870b7b22757a7aa03
Mosh Levy
claimed_verified
2024-08-29T07:22:13.518Z
622f35a2bc2a392eaf21b3e7
/avatars/383409ebd912ba90d8e7966e61a3910d.svg
Mosh Levy
user
Mosh
66d00bf870b7b22757a7aa04
Yoav Goldberg
claimed_verified
2024-12-30T19:38:59.719Z
676d5323dd95830fd94d675f
/avatars/a8622e2a189a13c7b5a99177c3a87c37.svg
Yoav Goldberg
user
yoavgoldberg
Knowledge Navigator: LLM-guided Browsing Framework for Exploratory
  Search in Scientific Literature
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.
Knowledge Navigator uses large language models and clustering methods to organize and navigate scientific literature efficiently.
LLM capabilities cluster-based methods Knowledge Navigator CLUSTREC-COVID SCITOC