研究人员开发了一种领域自适应的流水线，以改进危机沟通的翻译，解决了专业平行数据缺乏的问题。该方法通过过滤通用语料库中的数据来扩展小型参考语料库。由此产生的数据集用于微调面向危机特定翻译的语言模型，其输出倾向于CEFR A2级别的英语，以提高可读性。 AI
影响 改进了危机沟通的翻译，在无法提供全面多语言支持时，可能作为实用的通用语。
排序理由 关于领域自适应大语言模型用于危机沟通的学术论文。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
针对危机沟通进行微调的大语言模型通过简化英语提高了翻译质量
报道来源 [3]
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压力下的翻译：面向危机沟通的领域感知大语言模型
arXiv:2604.26597v1 Announce Type: new Abstract: Timely and reliable multilingual communication is critical during natural and human-induced disasters, but developing effective solutions for crisis communication is limited by the scarcity of curated parallel data. We propose a dom…
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压力下的翻译：面向危机沟通的领域感知大语言模型
Timely and reliable multilingual communication is critical during natural and human-induced disasters, but developing effective solutions for crisis communication is limited by the scarcity of curated parallel data. We propose a domain-adaptive pipeline that expands a small refer…
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压力下的翻译：面向危机沟通的领域感知大语言模型
Timely and reliable multilingual communication is critical during natural and human-induced disasters, but developing effective solutions for crisis communication is limited by the scarcity of curated parallel data. We propose a domain-adaptive pipeline that expands a small refer…