FLLM 2023: The International Symposium on Foundation and Large Language Models Abu Dhabi, UAE, November 22-23, 2023 |
Conference website | https://fllm-conference.org/FLLM2023/index.php |
Submission link | https://easychair.org/conferences/?conf=fllm2023 |
Submission deadline | October 21, 2023 |
Welcome to The International Symposium on Foundation and Large Language Models (FLLM2023)
With the emergence of foundation models (FMs) and 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.
Submission Guidelines
Paper format: Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission.
Length: Submitted papers may be up to 8 pages with two additional pages may be added for references.
Originality
Papers submitted to FLLM must be the original work of the authors. They may not be simultaneously under review elsewhere. Publications that have been peer-reviewed and have appeared at other conferences or workshops may not be submitted to FLLM. Authors should be aware that IEEE has a strict policy with regard to plagiarism https://www.ieee.org/publications/rights/plagiarism/plagiarism-faq.html The authors' prior work must be cited appropriately.
Proofreading:
Please proofread your submission carefully. It is essential that the language use in the paper is clear and correct so that it is easily understandable. (Either US English or UK English spelling conventions are acceptable.)
IMPORTANT: No-Show Policy
At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings. A paper not presented or presented by a non-author without prior written approval by the TPC Chair will be removed from the final conference proceedings and no registration refund can be made to the authors of these papers.
Publication:
All papers that are accepted, registered, and presented in FLLM will be submitted to IEEEXplore for publication with SNAMS proceedings.
List of Topics
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The International Symposium 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
- Transformers and Attention
- Bidirectional Encoding
- Autoregressive Models
- Massive GPU Systems
- Prompt Engineering
- Fine-tuning
- Challenges
- Hallucination
- Cost of Creation and Trining
- Energy and Sustainability Issues
- integration
- Safety and Trustworthiness
- Interpretability
- Fairness
- Social Impact
- Future Directions
- Generative AI
- Explainability
- Federated Learning for FLLM
- Data Augmentation
- Natural Language Processing Applications
- Generation
- Summarization
- Rewrite
- Search
- Question Answering
- Language Comprehension and Complex Reasoning
- Clustering and Classification
- Applications
- Natural Language Processing
- Communication Systems
- Security and Privacy
- Image Processing and Computer Vision
- Life Sciences
- Financial Systems
Committees
General Chairs
- Christian Guetl, Graz University of Technology, Graz, Austria
- Jim Jansen. Qatar Computing Research Institute, HBKU, Qatar
Technical Program Chairs
- Gregorio Martinez Perez, University of Murcia, Spain
- Yaser Jararweh, Jordan University of Science and Technology, Jordan
- Wenbo Zhu,University of Chicago, USA
Publicity Chairs
- Anastasija Nikiforova, Faculty of Computing, University of Latvia, Latvia
- Lahlou Laaziz, Ecole de Technologie Superieure, Canada
Publication Chair
- Izzat Alsmadi, Texas A&M University-San Antonio, USA
Steering Committee
- Yaser Jararweh, Jordan University of Science and Technology, Jordan
- Christian Guetl, Graz University of Technology, Graz, Austria
- Jim Jansen, Qatar Computing Research Institute, HBKU, Qatar
- Gregorio Martinez Perez, University of Murcia, Spain
- Izzat Alsmadi, Texas A&M University-San Antonio, USA
- Mahmoud Al-Ayyoub, Ajman University, UAE
- Abhimanyu Mukerji, Amazon.com, Inc., USA
Publication
FLLM 2023 proceedings will be published by IEEE
Venue
Abu Dhabi, UAE. November 22-23, 2023.
Contact
All questions about submissions should be emailed to : yijararweh@just.edu.jo