internlm/VC-RewardBench

Visual-ERM Visual-ERM is a multimodal generative reward model for vision-to-code tasks.It evaluates outputs directly in the rendered visual space and produces fine-grained, interpretable, and task-agnostic discrepancy feedback for structured visual reconstruction. 📄 Paper | 💻 GitHub | 📊 VC-RewardBench Model Overview Existing rewards for vision-to-code usually fall into two categories: Text-based rewards such as edit distance or TEDS, which ignore… See the full description on the dataset page: https://huggingface.co/datasets/internlm/VC-RewardBench.

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