Qiaosheng Chen

Open multimodal code intelligence models now rival proprietary systems, driven by a novel rubric-based data synthesis pipeline that precisely evaluates program correctness, code quality, and visual output.

Automating data selection with DataMaster not only reduces manual effort but also enhances performance across diverse applications, challenging traditional heuristic methods.

Visual artifacts are not just supplementary; they are essential for ensuring code correctness in multimodal programming tasks.