[agents] GenAI 2024(Hybrid event and Co-Sponsored by IEEE ): The International Symposium on Generative Artificial Intelligence, 26-29 November, 2024 | Dubai, UAE

Emerging Tech emergtechpub at gmail.com
Fri Aug 30 05:00:55 EDT 2024


[Apologies if you got multiple copies of this invitation]

The International Symposium on Generative Artificial Intelligence (GenAI
2024)

Co-Located with

The 2nd International Conference on Foundation and Large Language Models
(FLLM2024) <https://fllm2024.fllm-conference.org/index.php>



https://fllm2024.fllm-conference.org/Workshops/GenAI2024/

26-29 November, 2024 | Dubai, UAE

Technically Co-Sponsored by IEEE UAE Section

*GenAI 2024 CFP:*

The Symposium on Generative AI (GenAI) is an international forum for
researchers, practitioners, and thought leaders to share their latest
advancements, insights, and experiences in the field of generative
artificial intelligence. As a general-purpose technology with potential for
wide impact, GenAI aims to bring together a diverse group of contributors
to present and debate the holistic advancements in this domain. We invite
submissions that address the core topics of foundation models, innovative
applications of large language models (LLMs) in various industries, and the
ethical and societal impacts of these technologies, including the
challenges and ramifications on the workforce and the larger society.



The GenAI 2024 symposium focuses on the fundamental aspects of generative
AI, including theoretical advancements, architectural innovations, and
performance improvements. Topics of interest include, but are not limited
to:



·       Novel neural network architectures for generative models

·       Efficient pre-training algorithms and optimization techniques

·       Investigation of scaling law and emergent abilities of LLMs

·       Explainability techniques in LLMs

·       Novel supervised fine tuning techniques to unlock inherit LLM
abilities

·       Benchmark datasets and standardization

·       LLMs deployment challenges on limited resources edge devices

·       Adversarial attacks and defenses in generative models

·       Foundational models for computer vision (LVMs)

·       Fine tuning and Prompt Engineering



*Submissions Guidelines and Proceedings*

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 6 to 8
pages (including all figures, tables and references). Submitted papers must
present original unpublished research that is not currently under review
for any other conference or journal. Papers not following these guidelines
may be rejected without review. Also submissions received after the due
date, exceeding length limit, or not appropriately structured may also not
be considered. Authors may contact the Program Chair for further
information or clarification. All submissions are peer-reviewed by at least
three reviewers. Accepted papers will appear in the FLLM Proceeding, and be
published by the IEEE Computer Society Conference Publishing Services and
be submitted to IEEE Xplore for inclusion. Submitted papers must include
original work, and must not be under consideration for another conference
or journal. Submission of regular papers up to 8 pages and must follow the
IEEE paper format. Please include up to 7 keywords, complete postal and
email address, and fax and phone numbers of the corresponding author.
Authors of accepted papers are expected to present their work at the
conference. Submitted papers that are deemed of good quality but that could
not be accepted as regular papers will be accepted as short papers.

*Important Dates:*

   - *Paper submission deadline: September 15, 2024*
   - Notification of acceptance: October 15, 2024
   - Camera-ready Submission: October 25, 2024



*Contact:*

Please send any inquiry to: <emergingtechnetwork at gmail.com> Safwan Omari  (
omarisa at lewisu.edu)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.umbc.edu/pipermail/agents/attachments/20240830/8d65d6ac/attachment.htm>


More information about the agents mailing list