传统基础模型在S-NIAH单针大海捞针等简单检索任务中尚能维持表现，但在信息密度更高的复杂任务中，其推理性能随输入长度增加而下降。相比之下，RLM在输入长度超过特定阈值区间后，依然保持得分稳定性。

【新智元导读】你有没有发现，你让AI读一篇长文章，结果它读着读着就忘了前面的内容？ 你让它处理一份超长的文档，结果它给出来的答案，牛头不对马嘴？ 这个现象，学术界有个专门的名词，叫做上下文腐化。

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为了让这种人机协作模式能够推广到其他编程语言和场景，MIT团队还设计了一个通用的框架，叫做"自然函数接口"。这就像是制定了一套标准的沟通协议，让不同的编程系统都能支持自然语言和程序代码的无缝集成。

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While a motive remains unclear, officials said the gunman and his victim attended the same educational institution in Portugal in 1995.

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