ERCIM News No. 136 (January 2024)
DEADLINE FOR CONTRIBUTIONS: Tuesday 14 November 2023
Please read the guidelines below before submitting an article.
A Word template for ERCIM News articles is available for download.
The sections of ERCIM News 136 are :
- Joint ERCIM Actions
- Special Theme: Large Language Models (& ChatGPT)
- Research and Innovation
- Events
- In Brief
The Special Theme and the Research and Innovation sections contain articles presenting a panorama of European research activities. The Special Theme focuses on a sector that has been selected by the editors from a short list of currently "hot" topics whereas the Research and Innovation section contains articles describing scientific activities, research results, and technical transfer endeavours in any sector of Information and Communication Science and Technology (ICST), telecommunications or applied mathematics. Submissions to the Special Theme section are subjected to an external review process coordinated by invited guest editors whereas submissions to the Research and Innovation section are checked and approved by the ERCIM News editorial board.
Special Theme: Large Language Models (& ChatGPT)
Guest editors: Diego Collarana (Fraunhofer FIT) and Nassos Katsamanis (Athena RC)
Natural Language Processing (NLP) has increasingly been focusing on the development of Large Language Models (LLMs) that can process and generate human-like text. The advent of models such as ChatGPT reflects the potential capacities of these LLMs in diverse applications, stretching from content creation, and customer service to more delicate and impact-carrying tasks like mental health support and education. Despite the impressive performance and the wide array of applications, the integration of these AI language models in real-world settings presents several challenges given their size, energy footprints, factual correctness, ethical concerns, unpredictability, interpretability, and governance. Additionally, the objective to ensure that the benefits of these high-capacity models reach as many stakeholders as possible calls for research to democratize access beyond big tech and academia.
This special issue aims to bring together contributions that shed light on achieving the best out of these LLMs while grappling with the associated challenges. We welcome submissions that exhibit state-of-the-art techniques used in training, compressing, and deploying these models in various real-life scenarios. Contributions presenting criticism, limitations, and potential negative impacts of these models are equally encouraged. We seek innovative approaches to enhance oversight and accountability of these AI models and to broaden participation in their use and governance.
Relevant topics for submissions include, but are not limited to:
- Methods and applications of pre-training or fine-tuning large language models.
- Techniques for compressing and deploying large language models.
- Ethical considerations in the use of large language models.
- Critiques, limitations, and potential negative impacts of large language models.
- Explainability and interpretability of large language models.
- Retrieval augmented large language models.
- Large language models in combination with knowledge graphs.
- Challenges in broadening and democratizing access to large language models.
- Techniques to enhance oversight and accountability of large language models.
- Use cases of large language models in various industries and fields.
- Future directions of research and applications in large language models.
- Evaluation of ChatGPT-like models for multiple languages: methodologies, metrics, and cross-lingual applications.
All articles have to be sent to the local editor for your country (see About ERCIM News) or to the central editor This email address is being protected from spambots. You need JavaScript enabled to view it.
Reviewing:
Articles submitted to the special theme and the research and society sections are subject to a review process.
Guidelines for ERCIM News articles
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Contributions in ERCIM News are normally presented without formulas. One can get a long way with careful phrasing, although it is not always wise to avoid formulas altogether. In cases where authors feel that the use of formulas is necessary to clarify matters, this should be done in a separate box (to be treated as an illustration). However, formulas and symbols scattered through the text must be avoided as much as possible.
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Also: NO REVIEW ARTICLES!
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- References:
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A Word template for ERCIM News articles is available for download.
Publishing in ERCIM News offers several advantages:
- ERCIM News represents an excellent opportunity to present your research to a broad audience, also outside your own research community
- ERCIM News is published in print and online and reaches about 10,000 readers
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- ERCIM offers a free professional proof-reading service
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- Articles of the sections "Special Theme" and "Research and Innovation" are referenced by DBLP and by Web of Science (from issue 104 onwards)