AI RESEARCH
CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval
arXiv CS.AI
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ArXi:2604.15663v1 Announce Type: cross 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.