REPOGEO REPORT · LITE
yfzhang114/Awesome-Multimodal-Large-Language-Models
Default branch main · commit 034cbf98 · scanned 6/21/2026, 8:57:52 AM
GitHub: 1,153 stars · 49 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 yfzhang114/Awesome-Multimodal-Large-Language-Models, 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
2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition the README's opening paragraph to clarify its 'awesome list' nature
Why:
CURRENT# Awesome-Multimodal-Large-Language-Models his is a repository for organizing articles related to Multimodal Large Language Models, Large Language Models, and Diffusion Models; Most papers are linked to **my reading notes**. Feel free to visit my personal homepage and contact me for collaboration and discussion.
COPY-PASTE FIX# Awesome-Multimodal-Large-Language-Models This is a curated awesome list and collection of detailed reading notes for key articles related to Multimodal Large Language Models (MLLMs), Large Language Models (LLMs), and Diffusion Models. Most papers are linked to **my detailed reading notes**. Feel free to visit my personal homepage and contact me for collaboration and discussion.
- mediumlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXAdd a LICENSE file to the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0) that reflects how you want others to use your curated content and notes.
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.
- arXiv.org · recommended 1×
- Papers With Code · recommended 1×
- Google Scholar · recommended 1×
- Hugging Face · recommended 1×
- Distill.pub · recommended 1×
- CATEGORY QUERYWhere can I find comprehensive research papers and notes on multimodal large language models?you: not recommendedAI recommended (in order):
- arXiv.org
- Papers With Code
- Google Scholar
- Hugging Face
- Distill.pub
- OpenAI
- Google AI
- Meta AI
- MLCommons
- NeurIPS
- ICML
- ICLR
- CVPR
- ACL
- EMNLP
AI recommended 15 alternatives but never named yfzhang114/Awesome-Multimodal-Large-Language-Models. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat resources explain agentic multimodal intelligence for models that process images and text?you: not recommendedAI recommended (in order):
- Gato
- AutoGPT
- BabyAGI
- Voyager
- PaLM-E
AI recommended 5 alternatives but never named yfzhang114/Awesome-Multimodal-Large-Language-Models. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
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 yfzhang114/Awesome-Multimodal-Large-Language-Models?passAI did not name yfzhang114/Awesome-Multimodal-Large-Language-Models — 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 yfzhang114/Awesome-Multimodal-Large-Language-Models in production, what risks or prerequisites should they evaluate first?passAI named yfzhang114/Awesome-Multimodal-Large-Language-Models explicitly
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 yfzhang114/Awesome-Multimodal-Large-Language-Models solve, and who is the primary audience?passAI did not name yfzhang114/Awesome-Multimodal-Large-Language-Models — 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
Drop this badge into the README of yfzhang114/Awesome-Multimodal-Large-Language-Models. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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yfzhang114/Awesome-Multimodal-Large-Language-Models — 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