Introduces a gradient-based multilingual audit framework for LLM moral decisions in robot assistance scenarios and reports persistent culturally asymmetric gradient tracking failures not fixed by prompting.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Reanalyzing MoReBench by assigning LLMs the task of generating scoring rubrics shows better calibration to human rubrics and suggests stronger LLM moral reasoning than previously reported.
citing papers explorer
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Auditing LLM-Governed Social Robots with Culture-Specific Moral Gradients
Introduces a gradient-based multilingual audit framework for LLM moral decisions in robot assistance scenarios and reports persistent culturally asymmetric gradient tracking failures not fixed by prompting.
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Are LLMs Bad at Moral Reasoning?
Reanalyzing MoReBench by assigning LLMs the task of generating scoring rubrics shows better calibration to human rubrics and suggests stronger LLM moral reasoning than previously reported.