指出阿拉伯语模型常误判文化同质，呼吁重视阿拉伯世界内部多样性。
LLM Alignment for the Arabs: A Homogenous Culture or Diverse Ones?
- 挑战阿拉伯文化同质化假设，强调语言统一不等于文化一致。
- 揭示现有阿拉伯语大模型对地区差异的忽视，影响本地化效果。
- 适合关注多文化NLP、本土化模型设计的研究者参考。
大型语言模型（LLMs）具有自动化任务和辅助人类的潜力，但它们在英语中表现更流畅，且更符合西方文化、规范与价值观。为更好地捕捉阿拉伯语的语言细微差别及阿拉伯人的观点，正在开发阿拉伯语专用大模型。然而，人们常假设阿拉伯人共享相同文化。本文讨论这一假设的局限性，并提出初步思路，以构建更能反映阿拉伯世界内部文化多样性的系统。尽管文化同质性假设的无效性看似显而易见，但在多语言和阿拉伯语专用大模型开发中仍被广泛采用。希望本文能促使自然语言处理社区更加关注同一语言群体内部的文化多样性。
原文摘要 · Abstract (English)
Large language models (LLMs) have the potential of being useful tools that can automate tasks and assist humans. However, these models are more fluent in English and more aligned with Western cultures, norms, and values. Arabic-specific LLMs are being developed to better capture the nuances of the Arabic language, as well as the views of the Arabs. Yet, Arabs are sometimes assumed to share the same culture. In this position paper, I discuss the limitations of this assumption and provide preliminary thoughts for how to build systems that can better represent the cultural diversity within the Arab world. The invalidity of the cultural homogeneity assumption might seem obvious, yet, it is widely adopted in developing multilingual and Arabic-specific LLMs. I hope that this paper will encourage the NLP community to be considerate of the cultural diversity within various communities speaking the same language.
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