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Search effort doesn't guarantee better answers; instead, the quality of retrieved evidence is the true driver of accuracy in long-horizon search agents.
Native memory in foundation models can significantly enhance efficiency and performance, as shown by the innovative Metis architecture.
Action-only predictions miss the complexity of user preferences, but DASH captures decision-making processes for more accurate simulations in advertising.
