The 4th International Conference on Foundation and Large Language Models 

(FLLM 2026)

 https://fllm-conference.org/2026/index.php

17 – 20 November 2026 | Barcelona, Spain

Hybrid Conference and Technically Co-Sponsored by IEEE Spain Section

FLLM 2026 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  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

Call for Special Tracks Papers:

• Short papers: (4-6 pages).
• Poster papers: (1-2 Pages)
• Position Paper: (2-4 pages)
• PhD Symposium: (Up to 6 Pages)
• Demos : (Up to 2 Pages)
• Systemization of Knowledge (SoK) or Focused Surveys: (10-15 pages)

Call for Workshops Papers:

• The 3rd International Workshop on Advances of GenAI in Software Engineering (GenAISE)
• The 3rd International Workshop on Large Language Models for Cybersecurity (LLMCS)
• The 3rd International Workshop on Prompt Engineering Large Language Models (PromptEng)
• The 3rd International Workshop on Generative AI for Textual Document Analysis (GENAIDOC)
• The 3rd International Workshop on Sustainable AI for Natural Language Processing (SusAI)
• The 3rd International Symposium on Generative Artificial Intelligence (GenAI)
• The 2nd International Symposium on Agentic Artificial Intelligence Systems (AAIS 2026)
• The 2nd International Symposium on Retrieval Augmented Generation Systems (RAGS 2026) 
• The International Symposium on Federated Learning and Distributed Intelligence (FLDI 2026)
• The International Symposium on Foundation Models for Multimodal Field Intelligence (FMMFI 2026)

All accepted papers will be published in the conference proceedings and submitted to IEEE Xplore for publication.

Journal Special Issue:

Selected high quality papers will be invited for  special issue submission at the Information Processing & Management (impact factor : 8.1)

https://www.sciencedirect.com/journal/information-processing-and-management

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). Extra pages (up to 2 pages) can be purchased for a fee. 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. Authors of accepted papers are expected to present their work at the conference. 

Important Dates for Main Track:

Important Dates for Special Tracks and Workshops :

Contact:

Please send any inquiry on FLLM to: info@fllm-conference.org