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IQuest Research *Equal contributors
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Black-box RL can boost agent performance by nearly 15 points on complex tasks, revealing a new frontier for scalable optimization.
FORT-Searcher achieves superior performance by synthesizing training tasks that actively resist shortcut exploitation, transforming how we train deep search agents.
Building agents that can reliably automate complex, multi-step workflows over local files and tools just got a whole lot easier.
