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Prompting LLMs to reason in English can significantly enhance uncertainty estimation in low-resource languages, revealing a surprising reliance on generation over comprehension.
LLM-generated survey responses can be statistically accurate yet still miss the option most preferred by humans, highlighting a critical flaw in current evaluation methods.
Forget expensive multilingual annotations: this framework lets you evaluate LLMs in new languages by transferring knowledge from English, with surprisingly strong results.
