Connectionists: The 2nd International Conference on Foundationand Large Language Models (FLLM2024) 26-29 November, 2024 | Dubai, UAE

[Larbi Boubchir]

[Apologies if you got multiple copies of this invitation]

The 2nd International Conference on Foundation and Large Language Models 
(FLLM2024)

https://fllm2024.fllm-conference.org/index.php 
<https://fllm2024.fllm-conference.org/index.php>

26-29 November, 2024 | Dubai, UAE

Technically Co-Sponsored by IEEE UAE Section

*_FLLM 2024 CFP:_*

With the emergence of foundation models (FMs) and Large Language Models 
(LLMs) that are trained on large amounts of data at scale and adaptable 
to a wide range of downstream applications, Artificial intelligence is 
experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 
180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new 
applications ranging from computer vision to protein sequence study and 
from speech recognition to coding. Earlier models had a reputation of 
starting from scratch with each new challenge. The capacity to 
experiment with, examine, and comprehend the capabilities and potentials 
of next-generation FMs is critical to undertaking this research and 
guiding its path. Nevertheless, these models are currently inaccessible 
as the resources required to train these models are highly concentrated 
in industry, and even the assets (data, code) required to replicate 
their training are frequently not released due to their demand in the 
real-time industry. At the moment, mostly large tech companies such as 
OpenAI, Google, Facebook, and Baidu can afford to construct FMs and 
LLMS. Despite the expected widely publicized use of FMs and LLMS, we 
still lack a comprehensive knowledge of how they operate, why they 
underperform, and what they are even capable of because of their 
emerging global qualities. To deal with these problems, we believe that 
much critical research on FMs and LLMS would necessitate extensive 
multidisciplinary collaboration, given their essentially social and 
technical structure.

The International Conference on Foundation and Large Language Models 
(FLLM) addresses the architectures, applications, challenges, 
approaches, and future directions. We invite the submission of original 
papers on all topics related to FLLMs, with special interest in but not 
limited to:

  * *Architectures and Systems*
      o Transformers and Attention
      o Bidirectional Encoding
      o Autoregressive Models
      o Massive GPU Systems
      o Prompt Engineering
      o Multimodal LLMs
      o Fine-tuning
  * *Challenges*
      o Hallucination
      o Cost of Creation and Training
      o Energy and Sustainability Issues
      o Integration
      o Safety and Trustworthiness
      o Interpretability
      o Fairness
      o Social Impact
  * *Future Directions*
      o Generative AI
      o Explainability and EXplainable AI
      o Retrieval Augmented Generation (RAG)
      o Federated Learning for FLLM
      o Large Language Models Fine-Tuning on Graphs
      o Data Augmentation
  * *Natural Language Processing Applications*
      o Generation
      o Summarization
      o Rewrite
      o Search
      o Question Answering
      o Language Comprehension and Complex Reasoning
      o Clustering and Classification
  * *Applications*
      o Natural Language Processing
      o Communication Systems
      o Security and Privacy
      o Image Processing and Computer Vision
      o Life Sciences
      o Financial Systems

*_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 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: June 30, 2024*
  * Notification of acceptance: September 15, 2024
  * Camera-ready Submission: October 10, 2024

*_Contact:_*

Please send any inquiry on FLLM to: 
<mailto:emergingtechnetwork at gmail.com>info at fllm-conference.org
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