Geographic Named Entity Matching and Evaluation Recommendation Using Multi-Objective Tasks: A Study Integrating a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG)

dc.contributor.authorJiajun Zhang
dc.contributor.authorJunjie Fang
dc.contributor.authorChengkun Zhang
dc.contributor.authorWei Zhang
dc.contributor.authorHuanbing Ren
dc.contributor.authorLiuchang Xu
dc.date.accessioned2025-05-14T17:07:28Z
dc.date.available2025-05-14T17:07:28Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/33042
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleGeographic Named Entity Matching and Evaluation Recommendation Using Multi-Objective Tasks: A Study Integrating a Large Language Model (LLM) and Retrieval-Augmented Generation (RAG)
dc.typesupplierxml
dspace.entity.typeDistribution
relation.isDatasetOfDistribution2ded0d82-2b7f-4d30-8f30-875636c37be4
relation.isDatasetOfDistribution.latestForDiscovery2ded0d82-2b7f-4d30-8f30-875636c37be4

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ijgi-14-03-00095.xml
Size:
239.37 KB
Format:
Extensible Markup Language

Collections