Kate Feingold

Reinforcement Learning from Intermediate Renders for Image-to-Code Generation

IR4RL is introduced, an RL framework with a token-level render-progress reward that turns changes between intermediate renders into localized feedback for the generated sequence, showing that intermediate rendering provides a simple and effective source of process supervision for RL post-training of image-to-code model...