Papers by Zizheng Zhan

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Challenge:	Code embeddings capture the semantic representations of code and are crucial for various code-related large language model (LLM) applications.
Approach:	They propose an order-augmented strategy for improved code search that leverages order-based similarity labels to capture subtle differences in similarity among negative pairs.
Outcome:	The proposed model outperforms state-of-the-art models focusing on major positive-negative differences.