Papers by Gayathri Ganesh Lakshmy

1 papers
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization (2025.findings-emnlp)

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Challenge: a recent study shows that code retrievers exhibit a strong bias towards well-documented code .
Approach: They propose a framework that augments textual information with semantic information to mask specific features while preserving code functionality.
Outcome: The proposed framework enhances textual information and reduces bias by augmenting code or structural knowledge with semantic information.

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