Advancements in Large Language Models Applied in Multidisciplinary Research Contexts
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 44
Special Issue Editors
Interests: artificial intelligence; natural language processing; computing systems design; real-time systems; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; computational linguistics; machine learning; natural language processing
Special Issues, Collections and Topics in MDPI journals
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
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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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