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Affiliation:, EleutherAI
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Monolingual models can achieve cross-lingual alignment without joint training, revealing the power of linguistic structure over shared parameters.
LLMs can show drastically different skill levels depending on the language used, revealing a hidden barrier to true multilingual capabilities.
Normalized metrics in crosslingual evaluations can introduce significant biases, but using sentence-level negative log-likelihood offers a more reliable comparison across languages.
