LLMs' Non-English Text Improves, Still Detectable by Nuance

TL;DR. AI-generated text in non-English languages, while improving significantly, remains distinguishable to native speakers due to specific word choices and linguistic patterns. - Native Japanese speakers report AI models frequently use overly formal or unusual vocabulary, unlike human writing. - AI-generated English has advanced, making detection more difficult for native speakers compared to other languages. - Model performance varies widely across languages, with Anthropic's Opus and Google's models noted for strong non-English output.

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