Snorkel at ICLR 2026

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.