CfP: AutoAI Meets Foundation Models Workshop @ IJCAI-ECAI 2026

[Shavit, Hadar]

Dear all,

We are happy to announce the AutoAI meeting Foundation Models (AutoAI-FM) workshop at IJCAI-ECAI 2026. The AutoAI meets Foundation models (AutoAI-FM) workshop will discuss the intersection between AutoAI and foundation models, for example, how can AutoAI be used to improve foundation models, or how foundation models can help AutoAI.

The workshop accepts wide variety of contributions, including:

• Foundation models for AutoAI
• AutoAI for foundation models
• Natural language interfaces for AutoAI systems
• In-context learning for AutoAI and meta-algorithmics
• Zero-shot and few-shot AutoAI
• Benchmarking and reproducibility of AutoAI methods in the foundation-model era
• Green and resource-efficient AutoAI with foundation models
• Safety, robustness, and reliability of foundation models via AutoAI
• AutoAI for fine-tuning and adaptation
• AutoAI for pretraining, post-training, and distillation
• Model selection, routing, and orchestration using AutoAI
• AutoAI for agentic and tool-using foundation models
• Automated scaling analysis and performance extrapolation for foundation models
• Interpretability and explanation of algorithms, models, and performance

(Note: In the topics above, we use ‘Foundation Models’ to broadly refer to Large Language Models (LLMs) as well as foundation models for other modalities.)

The submission deadline for the workshop is the 4th of May 2026.

For more information, please visit the website of our workshop https://autoaifm.github.io.

Best,

Hadar, Steven, Elena and Holger

AutoAI-FM@IJCAI 2026 Program Chairs