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@@ -154,6 +154,16 @@ If you find this project helpful, please give it a star. It means a lot to us!
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  [![GitHub stars](https://img.shields.io/github/stars/codefuse-ai/CodeFuse-Embeddings?style=social)](https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main)
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- ## Correspondence to
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-
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- Jin Qin (qj431428@antgroup.com), Zihan Liao (liaozihan.lzh@antgroup.com), Ziyin Zhang (zhangziying.zzy@antgroup.com), Hang Yu (hyu.hugo@antgroup.com), Peng Di (dipeng.dp@antgroup.com)
 
 
 
 
 
 
 
 
 
 
 
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  [![GitHub stars](https://img.shields.io/github/stars/codefuse-ai/CodeFuse-Embeddings?style=social)](https://github.com/codefuse-ai/CodeFuse-Embeddings/tree/main)
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+ ## Citation
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+
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+ @article{2025C2LLM,
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+ title={C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling},
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+ author={Jin Qin and Zihan Liao and Ziyin Zhang and Hang Yu and Peng Di and Rui Wang},
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+ journal = {CoRR},
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+ volume = {abs/2512.21332},
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+ year = {2025},
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+ url = {https://doi.org/10.48550/arXiv.2512.21332},
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+ doi = {10.48550/ARXIV.2512.21332},
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+ eprinttype = {arXiv},
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+ eprint = {2512.21332}
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+ }