Track Description
This track focuses on recent advances in generative and agentic AI, including models and systems that support content generation, reasoning, planning, and action across multiple modalities. It welcomes contributions on foundational models, agent-based frameworks, human-AI interaction, evaluation, robustness, and the integration of generative and agentic capabilities into practical workflows.
Topics of Interest
- Foundations of Generative and Agentic AI (models, architectures, learning paradigms)
- Foundational Models and Architectures (e.g., diffusion, transformers, multimodal models)
- Controllable, Conditional, and Multimodal Generation
- Integration of Generation and Action (reasoning, planning, tool use)
- Agentic AI (LLM-based agents, reasoning, planning, tool use, autonomous workflows)
- Evaluation and Benchmarking of Agentic Systems
- Human-AI Interaction and Collaborative Intelligence
- Integration of Generative Models and Agents in End-to-End Systems
- Evaluation, Robustness, and Control of Generative and Agentic AI Systems
Track Chairs
- João Correia - University of Coimbra
- João Magalhães - NOVA University Lisbon
- Jamal Toutouh - Universidad de Málaga, ITIS Software Institute
