Measuring Bias and Agreement in Large Language Model Presupposition Judgments (2025.findings-acl)
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| Challenge: | Identifying linguistic bias in text requires the identification of explicit statements and presuppositions . large language models can be used to detect subtle forms of bias with no clear lexical signals . |
| Approach: | They propose to prompt large language models to evaluate presuppositions across texts . they find that LLMs may inadvertently reflect societal biases when identifying presuposed content . |
| Outcome: | The proposed model can be used to detect linguistic biases in text, but its accuracy is unclear . linguistic factors associated with human-model alignment suggest biase influenced by gender and ideology. |
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