Apologies for cross-posting.
 
 
 
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.
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