REPOGEO REPORT · LITE
yfzhang114/Awesome-Multimodal-Large-Language-Models
Default branch main · commit 8c277206 · scanned 5/11/2026, 5:52:55 AM
GitHub: 1,107 stars · 42 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 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
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add relevant topics to improve categorization
Why:
COPY-PASTE FIXmultimodal-llm, large-language-models, diffusion-models, awesome-list, research-papers, reading-notes, computer-vision, natural-language-processing, ai-agents
- highreadme#2Strengthen README's opening sentence to emphasize "awesome list" nature
Why:
CURRENThis 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**.
COPY-PASTE FIXThis awesome list is a curated collection of research papers and reading notes on Multimodal Large Language Models, Large Language Models, and Diffusion Models. Most papers are linked to **my reading notes**.
- highlicense#3Add a LICENSE file to clarify usage rights
Why:
CURRENT(no LICENSE file detected — the repo has no recognizable license)
COPY-PASTE FIXChoose and add a standard open-source license file (e.g., MIT, Apache-2.0, CC-BY-4.0 for content) to the repository root.
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.
- Awesome-Multimodal-Large-Models · recommended 1×
- Papers With Code · recommended 1×
- Hugging Face · recommended 1×
- arXiv.org · recommended 1×
- Google Scholar · recommended 1×
- CATEGORY QUERYLooking for a curated list of research papers and reading notes on multimodal large language models.you: not recommendedAI recommended (in order):
- Awesome-Multimodal-Large-Models
- Papers With Code
- Hugging Face
- arXiv.org
- Google Scholar
- AI Explained
- The Batch
AI recommended 7 alternatives but never named yfzhang114/Awesome-Multimodal-Large-Language-Models. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed to understand recent advancements in agentic multimodal intelligence and diffusion model research.you: not recommendedAI recommended (in order):
- AutoGPT
- BabyAGI
- AgentGPT
- Meta AI's CICERO
- Google DeepMind's AlphaCode 2
- Voyager
- OpenAI's GPT-4V (ision)
- Stable Diffusion XL (SDXL)
- Midjourney v5.2 / v6
- Google DeepMind's Imagen 2
- Latent Consistency Models (LCMs)
- Consistency Models (CMs)
- ControlNet
- Sora (OpenAI)
AI recommended 14 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