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Advancements in Large Language Models Applied in Multidisciplinary Research Contexts

This special issue belongs to the section “Computing and Artificial Intelligence“.

Special Issue Information

Dear Colleagues,

We welcome submissions to this Special Issue of Applied Sciences entitled “Advancements in Large Language Models Applied in Multidisciplinary Research Contexts”. This Special Issue focuses on the rapidly evolving field of large language models (LLMs) and their transformative role in various scientific and applied domains.

Recent research on LLMs has demonstrated their ability to support and enhance work in diverse areas such as healthcare, education, engineering, social sciences, and the arts. These models are revolutionizing how knowledge is generated, processed, and interpreted, enabling new forms of collaboration and insight in multidisciplinary settings.

We encourage submissions that explore novel applications of LLMs in real-world environments, including, but not limited to, fine-tuning methods, domain-specific adaptations, and their integration into decision-support systems. Contributions addressing challenges such as model interpretability, ethical considerations, performance optimization, and cross-domain scalability are also very welcome.

This Special Issue aims to showcase state-of-the-art approaches and tools that push the boundaries of how LLMs can be effectively and responsibly used to solve complex problems across disciplines.

Dr. Francisco De Arriba-Pérez
Dr. Silvia García-Méndez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • machine learning
  • deep learning
  • artificial intelligence
  • human-centered applications
  • large language models (LLMs)

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Appl. Sci. - ISSN 2076-3417