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Dual Exam benchmarks multimodal agents with separate world model tests
What is Dual Exam: Controlled Evaluation of Multimodal Agents and World Models?
Dual Exam is a new evaluation suite that measures both an agent’s decision making and the accuracy of its internal world model. It lets researchers run agents in fixed environments while tracking how well they predict state changes and choose actions.
Who it is for
Researchers building multimodal AI agents should use it to pinpoint where their models succeed or need improvement.