LLMs Can Better Capture Human Judgments--With the Right Prompts

arXiv:2606.12754v1 Announce Type: new Abstract: Are large language models (LLMs) bad at capturing human judgment? Two commonly stated limitations are that LLMs fail to capture full distributions of responses, and that their judgments are unstable across wording variations. We demonstrate simple prompting strategies that mitigate these limitations. Across two datasets--a U.S.-representative set of 144 moral scenarios and 38 moral beliefs from the International Social Survey Programme's Family and Changing Gender Roles module covering 32 countries--we show how simple elicitation techniques help

Source: arXiv cs.CL — read the full report at the original publisher.

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