Papers and repos for multimodal chain-of-thought are essential tools for tackling the complexities of multimodal hard problems. 📚🔍 These resources provide invaluable insights into how different modes of data—like text, images, and audio—can be integrated and analyzed to enhance understanding and decision-making. 🤖🎨 Especially useful are studies that delve into advanced algorithms and techniques for synthesizing information across various sensory inputs. 🧠💻 Whether you're a researcher, a developer, or simply a tech enthusiast, diving into these materials can open up new horizons of possibilities and innovations. 🌟🚀 Explore these repositories to gain a cutting-edge advantage in solving some of the most challenging issues in multimodal AI today! 🛠️📈
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MM-CoT - Multimodal Chain-of-Thought Reasoning in Language Models Rope
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CCoT - Compositional Chain-of-Thought Prompting for Large Multimodal Models Rope
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DDCoT - DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models Rope
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KAM-CoT - KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning
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Cantor - Cantor: Inspiring Multimodal Chain-of-Thought of MLLM Rope
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IW-Bench - IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web
