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Large language models are rapidly becoming an interface between citizens and political information. They are often regarded as"a better Google."While this analogy might work for some instances, it is unintuitively problematic for democratic politics. A search engine retrieves human-authored documents, while a language...
It is shown that alignment training does not remove the structured partisan direction in the base model, Instead, it compresses the variance of the partisan signal to generate consistently balanced and non-partisan output.
Large language models (LLMs) are rapidly becoming an interface between citizens and political information. They are often regarded as"a better Google."While this analogy might work for some instances, it is unintuitively problematic for democratic politics. A search engine retrieves human-authored documents, while a la...
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