[Paper] Visual-ERM: Reward Modeling for Visual Equivalence

Summary

The paper "Visual-ERM" addresses the challenge of reward modeling for vision-to-code tasks, which involve converting visual inputs like charts or SVGs into structured code. While Large Vision Language Models perform well with supervised fine-tuning, reinforcement learning struggles due to misaligned reward signals. Existing rewards, based on textual rules or coarse visual similarity, fail to capture the necessary fine-grained visual equivalence.

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