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TransClean: A Benchmark for Detecting and Extracting Clean Translations from Large Language Model Outputs

Qian, Shenbin et al.
arXiv (All) · Papers
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computation-and-language
Large language models (LLMs) are increasingly used for machine translation, yet their outputs often contain additional text beyond the translation itself, such as language labels, explanations or bilingual repetitions, which we term translation noise. Despite its prevalence, this problem lacks dedic
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