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@@ -163,9 +163,7 @@ We propose a pragmatic inference–based approach grounded in Moral Foundations
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This work represents a significant step toward robust moral reasoning in large language models.
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not just recognizing harmful words (semantic), but understanding <em>why</em> a reply is problematic
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in terms of deeper moral principles.
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This work represents a significant step toward robust moral reasoning in large language models.
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We further adapt this moral reasoning capability into a two-stage diagnose-and-correct framework for real-world moral violations, demonstrating strong performance in correcting both explicitly immoral and implicitly problematic responses.
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