VisCoder2 is a family of multi-language visualization coding models trained on the VisCode-Multi-679K dataset that reaches 82.4% execution pass rate at 32B scale and approaches GPT-4.1 performance with iterative self-debug.
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VisCoder2: Building Multi-Language Visualization Coding Agents
VisCoder2 is a family of multi-language visualization coding models trained on the VisCode-Multi-679K dataset that reaches 82.4% execution pass rate at 32B scale and approaches GPT-4.1 performance with iterative self-debug.