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Call for Papers: Discover Artificial Intelligence (Springer Nature-New Launched Journal) – Large Language Models and AI-Generated Content

 

Description

Recent years have witnessed rapid and remarkable progress made in large language models (LLMs), e.g., ChatGPT, GPT-4, BARD, Claude, etc. The emerging LLMs not only revolutionize the field of natural language processing, but also have a transformative impact on AI, science and society. On the one hand, LLMs are used as backbone models for generative AI, enabling AI-generated content (AIGC) in a variety of forms, e.g., text, image, video, audio. On the other hand, challenges coexist with opportunities in LLMs. Due to the blackbox nature of LLMs, the theoretical reasons of emergent abilities, chain-of-thought capability, instruction generalization, etc., are not yet clear. Value alignment of LLMs, which handles ethical concerns regarding different aspects of LLMs and makes them safe, is both a societal and technological desideratum.

 

Topics of interest

This Topical Collection aims at soliciting articles on large language models/AI-generated content via either large language models or other technologies. Topics of interest include, but are not limited to:

- Data processing and governance for large language models/AIGC

- Deep analysis of capabilities of large language models

- Interpretable large language models

- Neural architectures for large language models/AIGC

- Large multimodal models/AIGC

- Training and inference algorithms for large language models/AIGC

- Approaches to the alignment of large language models, e.g., RLHF

- Ethics issues of large language models/AIGC

- Various applications of LLMs in AIGC or for social good

- Automatic/Human Evaluations of LLMs/AIGC

 

Keywords

Large Language Models, AI-Generated Content, AI Alignment, Natural Language Processing, Ethics Issues of LLMs, LLM Evaluation, LLM Interpretability

 

Submission information

To submit your manuscript for consideration at Discover Artificial Intelligence as part of this Collection, please follow the steps detailed on this page. On the first page of our online submission system, under “Select article type:” select the option of your article type. Then when filling out the manuscript information, select the “Large Language Models and AI-Generated Content” Collection from the collection list on the “Details” tab. Authors should express their interest in the Collection in their cover letter.

All manuscripts submitted to a Collection are assessed according to the standard Discover Artificial Intelligence editorial criteria and peer review process and are subject to all standard journal policies. If accepted for publication, an article processing charge applies (with a standard waiver policy).

Submissions will be welcomed at any point up until 31 December 2023, but if you are unable to submit a manuscript before this date, please feel free to let us know as we may be able to be flexible.

 

This article Collection is a great opportunity to highlight this important area of research, and we hope you will be able to contribute.