Call for Papers
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
- Transformers and Attention
- Bidirectional Encoding
- Autoregressive Models
- Massive GPU Systems
- Prompt Engineering
- Multimodal LLMs
- Fine-tuning
- Challenges
- Hallucination
- Cost of Creation and Training
- Energy and Sustainability Issues
- integration
- Safety and Trustworthiness
- Interpretability
- Fairness
- Social Impact
- Future Directions
- Generative AI
- Explainability and EXplainable AI
- Retrieval Augmented Generation (RAG)
- Federated Learning for FLLM
- Large Language Models Fine-Tuning on Graphs
- 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
Submission Guidelines:
Submission System:
Paper format
All papers should be in PDF format. Please make use of the appropriate IEEE template for conference proceedings to prepare your revised manuscript. Failur to do so may result in excluding your paper from the conference proceedings.
- IEEE Word template can be found here (IEEE Conference Word Template).
- IEEE Latex template can be found here (IEEE Conference Latex Template).
- IEEE Overleaf Latex template can be found here (IEEE Overleaf Conference Latex Template).
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 accepted papers, registered, and presented at FLLM conference will be submitted for IEEEXplore for publications.