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QRAE: compresses DeepSearch agents' context by looking at which tokens actually matter

Research
Source:arXiv
DeepSearch agents accumulate ever longer context with each search step, but many retrieved sources don't contribute to the answer. QRAE uses query-relevant attention entropy to compress that context: a new method for cutting tokens and Latency in agents that search the web repeatedly.

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