Varad Gunjal

MM-ReCoder: Advancing Chart-to-Code Generation with Reinforcement Learning and Self-Correction

Multimodal Large Language Models (MLLMs) have recently demonstrated promising capabilities in multimodal coding tasks such as chart-to-code generation. However, existing methods primarily rely on supervised fine-tuning (SFT), which requires the model to learn code patterns through chart-code pairs b