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PrimeSeeker: Capability-Oriented Supervision for Deep Search Agents
Large language model search agents are often trained with synthetic questions whose difficulty is increased through larger evidence graphs, additional hops, and longer trajectories. These global properties, however, are only indirect proxies for the local retrieval capabilities required during searc
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