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研究人员提出同传语音翻译框架CRESiST

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2026年11月5日,arXiv发表的一项研究提出了基于全模态大语言模型的同声语音翻译框架CRESiST。该框架采用端到端交织读写架构,能够实现KV cache完全复用与无切分的无限长推理。此外,CRESiST还引入了Actor-Critic自增强机制,通过RNN-T Actor动态采样读写轨迹,并借助大语言模型Critic评估语义与延迟奖励以蒸馏策略。

AI-generated from reports · Updated 5 hours ago

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Nov 5
  1. arXiv 自然语言处理
    CRESiST:面向同声语音翻译的自增强探索性策略学习

    研究人员提出基于全模态大语言模型的同声语音翻译框架 CRESiST,通过端到端交织读写架构实现 KV cache 完全复用与无切分的无限长推理。该框架引入 Actor-Critic 自增强机制,由 RNN-T Actor 动态采样读写轨迹,并借助大语言模型 Critic 评估语义与延迟奖励以蒸馏策略。

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