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Institute of Automation, Chinese Academy of Sciences, 系 Nanjing University, Harbin Institute of Technology
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Visual artifacts are not just supplementary; they are essential for ensuring code correctness in multimodal programming tasks.
Current LLMs have substantial headroom for improvement in interactive web generation, a fact revealed by a new benchmark that mirrors human expert ratings without relying on reference implementations.
Forget hand-annotated code: OmniDiagram uses a self-evolving visual interrogation technique to train diagram-generating AI, achieving state-of-the-art results.
