Snorkel at ICLR 2026

A workshop dedicated to the data problems shaping foundation models, from data curation and attribution to synthetic data, evaluation, and governance. Join researchers and practitioners exploring how better data practices can improve the next generation of AI systems.


A workshop focused on world models — AI systems that learn to simulate and understand complex environments. Discussions span knowledge extraction, large-scale training and evaluation, multimodal scaling across language and vision, and applications in robotics, science, and real-world decision-making.

A workshop focused on the memory systems that power agentic AI, from episodic and semantic memory architectures to retrieval pipelines and long-horizon evaluation. Sessions explore how agents encode experience, consolidate knowledge, and learn across interactions.

A workshop focused on agentic AI in financial systems, exploring autonomous agents, multi-agent interactions, and decision-making under real-world constraints. Sessions highlight advances in financial AI alongside the ethical, regulatory, and robustness challenges of deploying AI in high-stakes markets.

A workshop focused on the emerging intersection of multi-agent learning and generative AI, from LLM-based agent systems to real-world distributed coordination and human-AI collaboration. Discussions explore new frameworks for agent cooperation, learning, and decision-making in complex environments.