Moral Reasoning Across Languages: The Critical Role of Low-Resource Languages in LLMs

• URL: http://arxiv.org/abs/2504.19759v1
• Date: Mon, 28 Apr 2025 12:56:36 GMT
• Title: Moral Reasoning Across Languages: The Critical Role of Low-Resource Languages in LLMs
• Authors: Huichi Zhou, Zehao Xu, Munan Zhao, Kaihong Li, Yiqiang Li, Hongtao Wang,
• Abstract summary: We introduce the Multilingual Moral Reasoning Benchmark (MMRB) to evaluate the moral reasoning abilities of large language models (LLMs)<n>Our results show moral reasoning performance degrades with increasing context complexity, particularly for low-resource languages such as Vietnamese.<n>Surprisingly, low-resource languages have a stronger impact on multilingual reasoning than high-resource ones, highlighting their critical role in multilingual NLP.
• Score: 0.3760401651114107
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this paper, we introduce the Multilingual Moral Reasoning Benchmark (MMRB) to evaluate the moral reasoning abilities of large language models (LLMs) across five typologically diverse languages and three levels of contextual complexity: sentence, paragraph, and document. Our results show moral reasoning performance degrades with increasing context complexity, particularly for low-resource languages such as Vietnamese. We further fine-tune the open-source LLaMA-3-8B model using curated monolingual data for alignment and poisoning. Surprisingly, low-resource languages have a stronger impact on multilingual reasoning than high-resource ones, highlighting their critical role in multilingual NLP.

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