MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning
Language models are increasingly used for moral decision-making across diverse linguistic and cultural contexts, yet existing work overlooks multilinguality on three aspects: 1) multilingual evaluation benchmarks use direct translation, failing to adapt culture-specific items; 2) inference-time methods for moral reasoning rely on static, English-centric scaffolds and lack grounding in moral theory; 3) training methods for moral decision-making typically require expensive supervision from stronger models or human annotators. We address these gaps with three contributions. First, we introduce MC
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- LinkedLinked via arxiv author · 85%Ayoung Lee →
“MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning”
- LinkedLinked via arxiv author · 85%Ryan Kwon →
“MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning”
- LinkedLinked via arxiv author · 85%Yunxiang Zhang →
“MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning”
- LinkedLinked via arxiv author · 85%Yuxuan Liu →
“MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning”
- LinkedLinked via arxiv author · 85%Peter Railton →
“MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning”
- LinkedLinked via arxiv author · 85%Lu Wang →
“MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning”
- PossiblePossibly related (embedding) · 64%Large language models often prioritize Western moral values, overlooking other cultures - The Conversation →