Papers with pluralistic distributional alignment task
The Pluralistic Moral Gap: Understanding Moral Judgment and Value Differences between Humans and Large Language Models (2026.eacl-long)
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| Challenge: | Existing studies have shown that Large Language Models (LLMs) are not fully aligned with human moral judgments. |
| Approach: | They propose a dataset of 1,618 real-world moral dilemmas paired with a distribution of human moral judgments consisting of a binary evaluation and a free-text rationale to examine how closely LLMs align with human moral judgements. |
| Outcome: | The proposed model reproduces human judgments only under high consensus; alignment deteriorates sharply when human disagreement increases. |