AutoAI meets Foundation Models
AutoAI meets Foundation Models (AutoAI-FM)
In conjunction with
International Joint Conference on Artificial Intelligence 2026
August 15-21, 2026
Messe Bremen
Bremen, Germany
Explores how automated machine learning and neural architecture search interact with the era of large pre-trained models - covering prompt optimization, hyperparameter tuning for fine-tuning, and meta-learning with LLMs.
More workshops at International Joint Conference on Artificial Intelligence 2026
- Federated Learning in the Age of Foundation Models — Addresses the intersection of federated learning and large foundation models - how to fine-tune or...
- Foundation Models for Social Good — Examines how large language and multimodal models can address societal challenges: climate change, healthcare access,...
- Generative Code Intelligence — Covers code generation, program synthesis, automated debugging, and code understanding with LLMs - including benchmark...
- Generative AI and Knowledge Graphs — Explores how knowledge graphs can ground and constrain generative AI outputs, and how LLMs can...
- Neuro-Symbolic Intelligence for LLMs and Autonomous Agents — Bridges neural and symbolic AI approaches for building more reliable agents - logical reasoning over...
- Robustifying Generative AI for Reliable and Human-Centric Systems — Explores robustness challenges in generative AI: distribution shift, adversarial prompts, hallucination mitigation, uncertainty estimation, and...
- Safe Agentic AI Framework and Ecosystem Roadmapping — Focuses on frameworks and governance for deploying AI agents safely in real-world settings - covering...
- Social Choice and Learning Algorithms — Addresses the intersection of computational social choice and machine learning - fair division, voting mechanisms,...
- Spatio-Temporal Reasoning and Learning — Brings together researchers working on reasoning and learning over spatial and temporal data - knowledge...
- Value Engineering in AI — Examines how human values, preferences, and ethical principles can be formally specified and incorporated into...
- Explainable Artificial Intelligence — One of the premier venues for XAI research, covering post-hoc explanation methods, interpretable model design,...