yaotingwangofficial/Awesome-MCoT resource

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1023 stars · 34 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An awesome-list repository accompanying the first systematic survey paper on Multimodal Chain-of-Thought (MCoT) reasoning (arXiv:2503.12605). It curates datasets, benchmarks, and methodologies for step-by-step reasoning in multimodal large language models across image, video, speech, audio, 3D, and structured data.

Use cases

• find papers on multimodal chain-of-thought reasoning
• survey datasets and benchmarks for MLLM reasoning evaluation
• learn about slow-thinking and system-2 reasoning in vision-language models
• research MCoT methods for robotics or healthcare applications
• track recent work on multimodal reasoning like OpenAI o1 and DeepSeek-R1
• find MCTS-based reasoning approaches for multimodal LLMs

When to choose

• you need a curated, taxonomy-organized reading list on multimodal CoT research
• you are writing a paper or literature review on MLLM reasoning
• you want datasets and benchmarks for training or evaluating multimodal reasoning

When to avoid

• you need runnable code or a software library rather than a paper list
• you want a general (text-only) chain-of-thought resource
• you need production tooling for multimodal inference

Facets

learning-resource · maturity active

nlp machine-learning documentation large-language-models artificial-intelligence computer-vision tutorials awesome-lists cross-platform awesome-list survey-paper chain-of-thought multimodal-reasoning mllm research-taxonomy benchmarks slow-thinking

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markdown · JSON · MCP: product_card(name="yaotingwangofficial/Awesome-MCoT")