[CODATA-international] Next-Generation Models for Generative AI

[pichappan at dirf.org]

First Workshop on "Next-Generation Models for Generative AI"

(In conjunction with the Third International Conference on Digital Data 
Processing 2023)
University of Bedfordshire, Luton. UK. November 27-29, 2023
https://socio.org.uk/ddp/workshop

(IEEE CPS will publish the proceedings, and papers should follow the 
IEEE template)

AI models use billions of parameters to detect and retrieve text and 
images. The currently available LL models are experimented with for 
their efficiency, and at the same time, newer models are being 
developed. There are many challenges associated with generative AI. The 
pre-training volume and efficiency are a focus. To leverage the training 
set with comprehensiveness and accuracy, billions of parameters are 
injected into the LLM. Current GPTs face criticism, and governments 
issue a caution to their use. For example, Zhuang Rongwen, China's 
cyberspace chief, raises concerns over the power of generative AI and 
pledges to make it 'controllable'.

The agenda for the future Generative AI is not clear. Improved 
generative tools should be capable of characterising extremist 
narratives in corpora to reveal different contexts, which may lead to 
building semantic-rich content for end-users. Testing the current models 
and their results may contribute to future research. Considering these 
issues, we framed a workshop to address the theme, Next Generation 
Models. The workshop themes include but are not limited to the 
following.

Text, Image, Code, Video, 3D models
Domain-specific models
Impact of Generative AI on Teaching and Learning
Knowledge and Semantic Issues in Generative AI
Future LLM
AI Ethical Issues
AI and NLP
Embedding in AI
Reinforcement learning
Data Support and Datasets in AI
Standards and Benchmarks
Compositional generative models

Workshop Chairs

Gloria Tengyue Li
North China University of Technology
Beijing
China

Simon Fong
University of Macau
Macau

Hathairat Ketmaneechairat
King Mongkut's University of Technology
North Bangkok, Thailand

Important Dates

Full Paper Submission: September 10, 2023
Notification of Acceptance/Rejection: October 10, 2023
Registration Due:  November 10, 2023
Camera Ready Due: November 10, 2023
Workshops/Tutorials/Demos:   November   28, 2023
Main conference: November 27-29, 2023
Post-conference proceedings:  December 20, 2023

Paper Submission: http://socio.org.uk/ddp/paper-submission/

Contact: stm at socio.org.uk
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