Identifier-Free Code Embedding Models for Scalable Search
The study evaluates how well AI embedding models can link source code functions to their stripped, decompiled versions without identifiers like names. By fine-tuning a Qwen3-Embedding model with contrastive learning on a large dataset, the researchers found their new model significantly outperformed existing methods across various search tasks and even generalized to unseen association types.