2nd Workshop on World Models: Understanding, Modelling and Scaling

The second ICLR Workshop on World Models explores scalable frameworks that unify generative modeling, sequential decision-making, multimodal learning, and causal reasoning. As world models mature from conceptual prototypes into system-level infrastructures for intelligence, this edition focuses on three core themes: (i) understanding and knowledge extraction of the world, (ii) large-scale training and rigorous evaluation, and (iii) cross-modal and control-centric scaling across language, vision, and action. Building on the success of the 2025 inaugural workshop with over 1,500 participants, the 2026 edition introduces systems-level discussions, robotics case studies, and failure-mode post-mortems emphasizing reproducibility, safety, and robustness. The workshop will culminate in a synthesis article summarizing insights from both editions—tracing the evolution of world model research, consolidating key lessons, and outlining future directions toward scalable, grounded, and causally coherent intelligence.