FutureSim: Replaying World Events to Evaluate Adaptive Agents

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arXiv: FutureSim: Replaying World Events to Evaluate Adaptive Agents AI agents are being increasingly deployed in dynamic, open-ended environments that require adapting to new information as it arrives. To efficiently measure this capability for realistic use-cases, we propose building grounded simulations that replay real-world events in the order they occurred. We build FutureSim, where agents forecast world events beyond their knowledge cutoff while interacting with a chronological replay of the world: real news articles arriving and questions resolving over t

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