CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval
Code search, framed as information retrieval (IR), underpins modern software engineering and increasingly powers retrieval-augmented generation (RAG), improving code discovery, reuse, and the reliability of LLM-based coding. Yet existing code IR models remain largely text-centric and often overlook the visual and structural aspects inherent in programming artifacts such as web interfaces, data visualizations, SVGs, schematic diagrams, and UML. To bridge this gap, we introduce MMCoIR, the first comprehensive benchmark for evaluating multimodal code IR across five visual domains, eight programming languages, eleven libraries, and show the challenge of the task through extensive evaluation. ...
| Authors | Jiahui Geng, Qing Li, Fengyu Cai et al. |
|---|---|
| Primary category | cs.SE |
| Published | 17 April 2026 |
| Last updated at source | 17 April 2026 |
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