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A tool-augmented LLM workflow for automated research contribution patterns extraction from citation sentences | Synapse
March 3, 2026
A tool-augmented LLM workflow for automated research contribution patterns extraction from citation sentences
JL
Jie Lu
University of Technology Sydney
YX
Yue Xiao
YW
Yajiao Wang
National Science Library
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Key Points
Automated research contribution patterns extraction enhances citation sentence analysis and understanding.
Key findings indicate a significant increase in efficiency in data processing through the tool-augmented workflow.
Implementation of a novel tool-augmented large language model enhances the extraction accuracy of citation sentences.
This approach supports better insights into publication trends, furthering automated research capabilities.
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Cite This Study
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Lu et al. (Sat,) studied this question.
synapsesocial.com/papers/69a75a03c6e9836116a1f780
https://doi.org/https://doi.org/10.1007/s00799-025-00438-4