Future Applications of Large Language Models
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 August 2025 | Viewed by 146
Special Issue Editors
Interests: graph algorithms; computational complexity; technology-enhanced learning
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning applications; blockchain applications; network and service economics; healthcare management systems
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; natural language processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse tasks, from text generation and translation to code synthesis and question-answering. However, their true potential lies beyond current applications and into the realm of complex, interactive AI systems. This Special Issue will explore the exciting future directions of LLM research, focusing on how these powerful models can be leveraged to create truly intelligent and helpful tools.
We are seeking contributions concerning any envisaged LLM application domain. A promising example is Explainable AI (XAI). While XAI is relatively mature in areas like text classification, its application to text generation remains nascent. Current approaches often rely on identifying and linking relevant text spans from the training corpus as "citations" for generated output. Another compelling direction is the agentic approach, which involves orchestrating multiple LLM instances (or prompts) to perform complex tasks. This has the potential to significantly broaden LLM applicability across general and specialized domains. Also, multimodal LLMs represent a key development area, capable of synergistic analysis of diverse data sources that are typically handled separately.
This Special Issue aims to bring together researchers from diverse fields, including Natural Language Processing, Artificial Intelligence, cognitive science, and human–computer interactions, to explore the transformative potential of LLMs. We encourage submissions presenting novel research, insightful perspectives, and innovative applications in these crucial areas, particularly those addressing explainability, agentic behavior, and multimodality.
Dr. Luigi Laura
Prof. Dr. Maurizio Naldi
Guest Editors
Dr. Paolo Fantozzi
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- large language models (LLMs)
- LLM applications
- generative AI
- explainable AI (XAI)
- natural language processing
- artificial intelligence
- human–computer interactions
- agentic AI
- multimodal AI
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