Science advancesHumansLanguageModelsTheoreticalJudgment
Source framing triggers systematic bias in large language models.
Federico Germani, Giovanni Spitale
Published: 202510.1126/sciadv.adz2924
Abstract
Large language models (LLMs) are increasingly used to evaluate text, raising urgent questions about whether their judgments are consistent, unbiased, and robust to framing effects. Here, we examine inter- and intramodel agreement across four state-of…
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