Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
A Comprehensive Survey on Evaluating Reasoning Capabilities in Multimodal Large Language Models.
Chiron-o1: Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs
[ACL 2025] FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
(ArXiv25) Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning
🔥🔥🔥Latest Papers, Codes on Uncertainty-based RL
[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
We introduce the YesBut-v2, a benchmark for assessing AI's ability to interpret juxtaposed comic panels with contradictory narratives. Unlike existing benchmarks, it emphasizes visual understanding, comparative reasoning, and social knowledge.
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