Special Symposium on Generative AI, Foundation Models and Agentic Intelligence

The rapid development of foundation models is transforming the way intelligent systems are designed and deployed. Large Language Models, multimodal foundation models and Generative AI are increasingly moving beyond content generation towards systems capable of reasoning, planning, tool use, interaction and autonomous decision-making.

The Special Symposium on Generative AI, Foundation Models and Agentic Intelligence invites original and unpublished research contributions addressing the scientific and engineering challenges involved in developing the next generation of generative and autonomous intelligent systems.

The symposium particularly welcomes research presenting new methods, architectures, algorithms, evaluation frameworks, experimental results and practically validated intelligent systems.

Topics of Interest

• Large Language Models and foundation models
• Multimodal foundation models
• Agentic AI and autonomous intelligent agents
• Multi-agent systems and collaborative intelligence
• Reasoning, planning and tool-using agents
• Retrieval-Augmented Generation
• Knowledge-enhanced generation
• Efficient fine-tuning and parameter-efficient learning
• Small and resource-efficient language models
• Generative vision and multimodal generation
• Cross-modal reasoning and learning
• Evaluation and benchmarking of foundation models
• Hallucination detection and mitigation
• Reliability and robustness of Generative AI
• Alignment and safety of generative and agentic systems
• Privacy and security of foundation models
• Human–agent interaction
• Domain-specific foundation models
• Multilingual and low-resource foundation models
• Generative AI for scientific and engineering applications
• Responsible deployment of Generative AI
• Indic-language and multilingual foundation models
• Generative and agentic AI for Digital Public Infrastructure and citizen-centric services

Paper Submission and Review

Authors are invited to submit original and unpublished research papers through the ICogSys 2026 EDAS submission system.

All submissions will undergo a rigorous double-blind peer-review process. Papers will be evaluated based on originality, technical quality, significance, methodological soundness, relevance and clarity of presentation.

Proceedings

Peer-reviewed and selected symposium papers will be considered for inclusion in the ICogSys 2026 Springer Lecture Notes in Networks and Systems (LNNS) proceedings, subject to the conference selection criteria and Springer's quality and publication requirements.

Important Dates