DynToM

A dynamic theory-of-mind benchmark that requires models to track belief updates across multi-turn interactions. It is used to evaluate the dynamic theory-of-mind capability of AI systems, assessing whether a model can revise its representation of another agent's beliefs as new information arrives during an ongoing interaction.