Papers by Patrick Parschan

1 papers
PolBiX: Detecting LLMs’ Political Bias in Fact-Checking through X-phemisms (2025.findings-emnlp)

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Challenge: a few models show tendencies of political bias, but this is not mitigated by explicitly calling for objectivism in prompts.
Approach: They investigate political bias by exchanging words with euphemisms or dysphemismas in German claims.
Outcome: The proposed model shows that political bias influences truthfulness assessment more than political leaning .

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