Thousands of papers are published every day. How do we keep up? ??????
In the paper "LLM-Based Information Extraction to Support Scientific Literature Research and Publication Workflows", Samy Ateia and his colleagues outline their research on how Large Language Models (LLMs) can help extract key scientific concepts to support semantic search and structured literature reviews.
? Their research:
? Uses in-context learning facilitating rapid domain adaptation (often even with zero examples)
? Compares open-source vs. commercial LLMs
? Looks at insights from real researchers via workshops and user studies
? This work aims at FAIR principles of scientific publishing to make scientific literature more accessible, searchable, and reusable.
? Authors:
Samy Ateia & Udo Kruschwitz (University of Regensburg)
Melanie Scholz, Moayad Almohaishi, & Agnes Koschmider (University of Bayreuth)
? This research is part of the German National Research Data Infrastructure for and with Computer Science (NFDIxCS) project.
? Read the paper, accepted and presented at TPDL 2025, here: https://arxiv.org/abs/2510.04749 (externer Link, ?ffnet neues Fenster)
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#InformationRetrieval #IR
#NaturalLanguageProcessing #NLP
#LargeLanguageModels #LLMs
#KnowledgeDiscovery #KnowledgeManagement
#AI4Science
#NFDIxCS
#BusinessProcessManagement #BPM #DomainAdaptation
#PhDResearch #AIResearch
#StructuredLiteratureReviews
#KnowledgeExtraction #InformationExtraction
#KnowledgeGraphs
#EvaluationStudy #UserStudy #UserStories
#InternationalConferenceOnTheoryAndPracticeOfDigitalLibraries
#TPDL #TPDL2025 #DigitalLibraries
#ResearchSuccess #ResearchPaperAccepted
#InformationScienceRegensburg #StayInformed
Informationen/Kontakt
The 29th International Conference on Theory and Practice of Digital Libraries (TPDL 2025) took place at Tampere, Finland, September 23-26, 2025. Find more information on TPDL 2025 here: https://tpdl2025.github.io/index.html (externer Link, ?ffnet neues Fenster)
Find more information on Samy Ateia (including further research works) on Samy's web page.
