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CodeRAG-Bench: Can Retrieval Augment Code Generation?
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2026-02-18 18:16:57
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CodeRAG-Bench: Can Retrieval Augment Code Generation? CodeRAG-Bench: Can Retrieval Augment Code Generation? Zora Zhiruo Wang 1* , Akari Asai 2* , Xinyan Velocity Yu 3 , Frank F. Xu 1 , Yiqing Xie 1 , Graham Neubig 1 , Daniel Fried 1 1 Carnegie Mellon University, 2 University of Washington, 3 University of Southern California * Equal Contribution Paper Code Data Abstract Many programs are challenging for language models (LMs) to generate using their parametric knowledge alone, yet most works generate programs solely based on problem descriptions. Given the success of retrieval-augmented generation in many text-oriented tasks, providing external resources such as library documentation or tutorials can facilitate code generation as well. Despite a few efforts on this, retrieval-augmented code generation (RACG) is still under-explored on various tasks and retrieval sources. ...
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