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A key factor driving the cost and latency of agentic search is the growth of the context window. As the agent gathers information over multiple turns, its context window fills rapidly with retrieved documents, many of which may be tangential or redundant. This bloated context not only increases computational cost but can also degrade downstream performance due to increasing the presence of distracting information. One promising direction to address this is self-editing context, in which the agent actively decides which retrieved information to retain and which to discard, allowing it to continue long-horizon search tasks more efficiently and more accurately within a bounded context window.,详情可参考有道翻译下载
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