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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