AI RESEARCH

JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence

arXiv CS.AI

ArXi:2510.23538v2 Announce Type: replace The scope of neural code intelligence is rapidly expanding beyond text-based source code to encompass the rich visual outputs that programs generate. This visual dimension is critical for advanced applications like flexible content generation and precise, program-driven editing of visualizations. However, progress has been impeded by the scarcity of high-quality multimodal code data, a bottleneck stemming from challenges in synthesis and quality assessment. To address these challenges, we make contributions from both a data and modeling perspective.