Author

Meysam Mansouri

University of Rome Tor VergataORCID 0009-0000-7893-8216Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:large language model· 1

Frequent Co-Authors

Nima Shafiei Rezvani NezhadiD· 1 shared Rabih Abdulkarim ZakariaiD· 1 shared Ruhollah AbolhasaniiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Nima Shafiei Rezvani NezhadORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 12, 2025

Medical Abbreviation Disambiguation with Large Language Models: Zero- and Few-Shot Evaluation on the MeDAL Dataset

Nima Shafiei Rezvani Nezhad, Meysam Mansouri, Rabih Abdulkarim Zakaria, Ruhollah Abolhasani

This study evaluates zero- and few-shot performance of large language models on medical abbreviation disambiguation using the MeDAL dataset, showing GPT-4 outperforms LLaMA.

DOI 10.1101/2025.09.12.675926

large language modelbenchmarking

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