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

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
• 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

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: info@fllm-conference.org

 

The KU Leuven is excited to invite you to participate in the fourth edition of the Summer School on the Law, Ethics and Policy of Artificial Intelligence, scheduled to take place from 1 to 10 July 2024.

 

The Summer School aims to provide a comprehensive overview of the various legal, ethical and policy-related issues around AI and algorithm-driven processes more broadly. The lectures are provided by renowned academics, policy-makers from EU and international institutions as well as practitioners, allowing participants to grasp not only the theoretical but also the practical implications of the use of AI in these fields. The programme's goal is to offer participants the latest insights on AI from various perspectives, and in particular the fields of law, ethics and policy. 

 

Hybrid event: both on campus and online.

 

See details in: https://www.law.kuleuven.be/ai-summer-school/description-ai