Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
Some recently developed code large language models (Code LLMs) have been pre-trained on repository-level code data (Repo-Code LLMs), enabling these models to recognize repository structures and utilize cross-file information for code completion. However, in real-world development scenarios, simply c...
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Main Authors | , , , , , , , , , |
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Format | Journal Article |
Language | English |
Published |
26.06.2024
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Subjects | |
Online Access | Get full text |
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