MET

Researchers introduced MET, a framework for multilingual moral reasoning in language models that uses culture-aware, theory-grounded prompting. The approach improved macro-F1 scores by up to 12.94 poi…

Researchers introduced MCLASH, a multilingual benchmark for culturally sensitive AI moral decision-making, along with MET and MET-D methods to improve cultural reasoning. MET-D, a self-distillation tr…