Papers with toning-down transformation

1 papers
Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting (2023.findings-acl)

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Challenge: Cognitive biases in the human decision making process can lead to flawed responses when we are under uncertainty.
Approach: They propose to expose cognitive biases on results of language model prompting which display bias modes resembling cognitive bias.
Outcome: The proposed methods show that a toning-down transformation of the drug-drug description in a prompt can elicit a bias similar to the framing effect, warning users to distrust when prompting language models for answers.

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