Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
(ArXiv25) Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning
[ACL 2025] FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
[CVPR 2025] Code for "Notes-guided MLLM Reasoning: Enhancing MLLM with Knowledge and Visual Notes for Visual Question Answering".
A Multimodal Benchmark for Evaluating Scientific Reasoning Capabilities of VLMs
Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs
NoteMR enhances multimodal large language models for visual question answering by integrating structured notes. This implementation aims to reduce reasoning errors and improve visual feature perception. 🐙📚
Vision Matters explores how simple visual changes can enhance multimodal math reasoning. Join the discussion and contribute to the project! 👩💻👨💻
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