Unverified50% confidenceFactExact time
The source, quality, and quantity of monolingual data affect the effectiveness of back-translation in generating synthetic corpora.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Claims
UnverifiedThe effect of back-translation depends on the quality of the initial parallel corpus and the selection of monolingual data; how to systematically evaluate and filter monolingual data remains an open question.78% similarUnverifiedUsing concrete input/output examples is more effective than using abstract adjectives for constraining the behavior of large language models.76% similarUnverified口语化采样的核心思想是通过改变提示词的表述方式让大语言模型产生更多样化的输出，本质上是一种提示工程技巧76% similarUnverifiedText generation in large language models is autoregressive, and the number of output tokens is nearly proportional to response time75% similarUnverifiedThe comparison baseline GRADMM tends to attempt to reconstruct the source text or pursue linguistic fluency.75% similar
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