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Extracting Blockchain Concepts from Text

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arxiv 2305.10408 v1 pith:EHYP7ZRV submitted 2023-05-07 cs.IR cs.CLcs.CR

Rodrigo Veiga , Markus Endler , Valeria de Paiva This is my paper · ORCID
classification cs.IRcs.CLcs.CR
keywords blockchaininformationlearningspaceacademicaccelerationapplyarea
verification ladder T0 review T1 audit T2 compute T3 formal
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Blockchains provide a mechanism through which mutually distrustful remote parties can reach consensus on the state of a ledger of information. With the great acceleration with which this space is developed, the demand for those seeking to learn about blockchain also grows. Being a technical subject, it can be quite intimidating to start learning. For this reason, the main objective of this project was to apply machine learning models to extract information from whitepapers and academic articles focused on the blockchain area to organize this information and aid users to navigate the space.

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Cited by 1 Pith paper

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  1. From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics

    physics.ed-ph 2025-08 conditional novelty 6.0 of 10

    On a new 50-item thermodynamics benchmark, the best LLM scored 82%, below the authors' 95% tutoring-safety threshold, with diagram-based questions near chance.

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