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Shifting the evaluation of agentic search to a vast, uncurated corpus reveals a dramatic decline in retrieval effectiveness, challenging current models' capabilities.
NanoKnow reveals that even with external evidence, LLMs are more accurate when answers were seen during pre-training, highlighting the crucial role of parametric knowledge.
