Excited to introduce VTool-R1! We’ve trained VLMs to “think visually” using RL, blending Python-based 🖼️visual edits with💡textual Chain-of-Thought reasoning. Our trained qwen2.5-VL-32B surpasses GPT-4o on ChartQA & TableVQA, and even the compact qwen2.5-VL-7B significantly

Can VLMs learn to reason better by drawing on the brilliant thoughts of others. 🔥Our recent work on vision language model reasoning, through carefully designed multimodal memory and retrieval, has been accepted to Main Conference of #EMNLP2025. 💡Inspired by case-based