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Forget massive models: a carefully trained 4B parameter agent can now rival 30B-class systems on complex research tasks, all while using only 10K open data.
Forget human clicks: training retrieval models directly from agent behavior unlocks significant gains in task success and efficiency for LLM-powered search agents.