AI RESEARCH
VisCoder2: Building Multi-Language Visualization Coding Agents
arXiv CS.CL
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ArXi:2510.23642v2 Announce Type: replace-cross Large language models (LLMs) have recently enabled coding agents capable of generating, executing, and revising visualization code. However, existing models often fail in practical workflows due to limited language coverage, unreliable execution, and lack of iterative correction mechanisms. Progress has been constrained by narrow datasets and benchmarks that emphasize single-round generation and single-language tasks. To address these challenges, we