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SynthCoder: Anti-pattern identification and model training for FIM mode code completion
As a leading application of large language models (LLMs) in software engineering, Fill-in-the-Middle (FIM) mode code completion has drawn wide attention. Training such models requires masking code corpora, yet common strategies tend to be problematic: character-delimited random masking may yield man
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