Unverified50% confidenceFactExact time
BLEU scores by counting the n-gram overlap between model output and reference translations, and was originally designed for machine translation.
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50%
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Long-term
Relevance
9/28/2026
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UnverifiedBLEU由IBM于2002年提出，最初专为机器翻译设计，基于n-gram重叠统计并引入简短惩罚75% similarUnverifiedCurrent large language models and generative models are fundamentally seeking statistical patterns in massive amounts of data66% similarUnverified大语言模型的内存占用由模型参数量、精度格式和推理过程中产生的KV Cache三部分共同决定64% similarUnverifiedEvaluation metrics use each model's own normal prose output as the baseline, and each model's own tokenizer is used to calculate token counts to ensure fairness of comparison.62% similar
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