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Yanxian Huang

1 accepted papers

2022

Exploring Representation-level Augmentation for Code Search

EMNLP 2022main

Code search, which aims at retrieving the most relevant code fragment for a given natural language query, is a common activity in software development practice. Recently, contrastive learning is widely used in code search research, where many data augmentation approaches for source code (e.g., seman…