REPOGEO REPORT · LITE
yaotingwangofficial/Awesome-MCoT
Default branch main · commit 26143708 · scanned 5/28/2026, 12:47:50 AM
GitHub: 1,004 stars · 34 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface yaotingwangofficial/Awesome-MCoT, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highlicense#1Add a LICENSE file
Why:
COPY-PASTE FIXCreate a LICENSE file in the root directory with the chosen license text (e.g., MIT, Apache-2.0, or a custom one if applicable).
- highreadme#2Clarify the repo's nature as an 'Awesome List' in the README introduction
Why:
CURRENTTo fill this gap, we present **_the first systematic survey of MCoT reasoning_**, elucidating the foundational concepts and definitions pertinent to this area. Our work includes a detailed taxonomy and
COPY-PASTE FIXTo fill this gap, we present **_the first systematic survey of MCoT reasoning_**, and this repository serves as an **Awesome List** curating key papers and resources. Our work elucidates the foundational concepts and definitions pertinent to this area, including a detailed taxonomy and
- mediumtopics#3Add 'awesome-list' and 'literature-review' topics
Why:
CURRENTchain-of-thought, cot, deepseek-r1, instruction-tuning, large-vision-language-model, mcts, mllm-reasoning, multimodal, multimodal-chain-of-thought, multimodal-large-language-models, openai-o1, reasoning, slow-thinking, survey, system-2
COPY-PASTE FIXawesome-list, chain-of-thought, cot, deepseek-r1, instruction-tuning, large-vision-language-model, literature-review, mcts, mllm-reasoning, multimodal, multimodal-chain-of-thought, multimodal-large-language-models, openai-o1, reasoning, slow-thinking, survey, system-2
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- haotian-liu/LLaVA · recommended 2×
- GPT-4V · recommended 1×
- Claude 3 Opus · recommended 1×
- salesforce/LAVIS · recommended 1×
- huggingface/transformers · recommended 1×
- CATEGORY QUERYHow to improve step-by-step reasoning capabilities in multimodal large language models?you: not recommendedAI recommended (in order):
- GPT-4V
- Claude 3 Opus
- LLaVA-1.5 (haotian-liu/LLaVA)
- LLaVA-1.6 (haotian-liu/LLaVA)
- InstructBLIP (salesforce/LAVIS)
- Hugging Face Transformers (huggingface/transformers)
- YOLOv8 (ultralytics/ultralytics)
- DETR (facebookresearch/detr)
- PyTorch Geometric (pyg-team/pytorch_geometric)
- DGL (dmlc/dgl)
- LangChain (langchain-ai/langchain)
- LlamaIndex (run-llama/llama_index)
- VQAv2
- GQA
- A-OKVQA
- ScienceQA
- Stable Diffusion (stability-ai/stablediffusion)
- DALL-E 3
- GPT-4
- Claude 3
AI recommended 20 alternatives but never named yaotingwangofficial/Awesome-MCoT. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a comprehensive survey on multimodal chain-of-thought reasoning techniques for AI applications.you: not recommendedAI recommended (in order):
- A Survey of Chain of Thought Reasoning: Advances, Challenges, and Future Directions
- Multimodal Chain-of-Thought Reasoning: A Survey
- Chain-of-Thought Prompting Elicits Cross-Modal Grounding in Large Language Models
- Visual Chain of Thought: A Survey
- Harnessing the Power of Large Language Models for Multimodal Learning: A Survey
AI recommended 5 alternatives but never named yaotingwangofficial/Awesome-MCoT. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of yaotingwangofficial/Awesome-MCoT?passAI did not name yaotingwangofficial/Awesome-MCoT — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts yaotingwangofficial/Awesome-MCoT in production, what risks or prerequisites should they evaluate first?passAI did not name yaotingwangofficial/Awesome-MCoT — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo yaotingwangofficial/Awesome-MCoT solve, and who is the primary audience?passAI did not name yaotingwangofficial/Awesome-MCoT — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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yaotingwangofficial/Awesome-MCoT — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite