Advanced Retrieval-Augmented Generation Systems Based on Large Language Models
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 February 2026 | Viewed by 365
Special Issue Editors
Interests: artificial intelligence; natural language processing; machine learning
Special Issue Information
Dear Colleagues,
We invite researchers, academics, and practitioners to contribute to this Special Issue focused on advanced retrieval-augmented generation (RAG) systems powered by large language models (LLMs). This issue aims to explore cutting-edge methodologies and solutions that leverage LLMs to enhance information retrieval, knowledge generation, and decision-making processes across various domains. Key topics include the following:
- Advanced techniques for integrating LLMs into RAG systems to improve accuracy, efficiency, and scalability.
- Cross-domain applications of RAG systems powered by LLMs, including healthcare, legal tech, education, and finance.
- Novel approaches to fine-tuning LLMs for specialized retrieval tasks and domain-specific knowledge bases.
- Comparative studies and evaluations of LLM-based RAG systems versus traditional or hybrid approaches.
- Ethical, legal, and societal implications of deploying LLMs in RAG systems, including considerations of bias, fairness, and transparency.
We welcome submissions presenting original research, case studies, and theoretical advancements, addressing both technical and practical aspects of LLM-driven RAG systems.
Dr. Marina Bagic Babac
Dr. Andrea Giovanni Nuzzolese
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Information is an international peer-reviewed open access monthly 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 1600 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
- retrieval-augmented generation (RAG)
- large language models (LLMs)
- information retrieval
- knowledge generation
- decision making
- cross-domain applications
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