📝 A curated list about Personalized Multimodal Models, Personalized Representation Learning~ 📚
Please feel free to create a pull request to add papers or edit any informations:
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| # | Problem Settings: Using 3-5 images of a novel concept/subject (e.g., a pet named <bo>), can we personalize Large Multimodal Models so that:(1) They retain their original capabilities (e.g., Describe a dog) while (2) Enabling #tailored their capabilities for the novel concept? (e.g., Describe <bo>) |
![]() * 🙋♀️ Personalization has been extensively explored in AI/ML/CV… It’s now time for personalizing Large Multimodal Models! 🙋♀️* |
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| <!– | Over the years, we’ve witnessed the evolution of personalization across various tasks (e.g., object segmentation, image generation). Now, with the rise of Large Multimodal Models (LMMs) – We have opportunities to personalizing these generalist, large-scale AI systems. It’s time to take the leap and bring personalization into the realm of Large Multimodal Models, making them not only powerful but also user-specific! |
| ^ Above caption are actually generated by GPT-4o, I feed it the figure and asked it to generate a caption, haha! |
(This figure is created by me. If there is anything incorrect, please feel free to correct me! Thank you!) –>
Blogs:
| Personal Intelligence: Connecting Gemini to Google apps | 2026 |
| Memory and new controls for ChatGPT | OpenAI | 2024 |
Frameworks:
| mem0 | Universal memory layer for AI Agents |
| Graphiti | Build Real-Time Knowledge Graphs for AI Agents |
| nanobot | Ultra-lightweight personal AI assistant |
| OpenClaw | Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 |
| Title | Venue | Year | Link/ Code |
|---|---|---|---|
| Personalized Representation from Personalized Generation | ICLR | 2025 | Code |
| “This is my unicorn, Fluffy”: Personalizing frozen vision-language representations | ECCV | 2024 | Code |
| Name | Year | # Concepts | Link | Notes |
|---|---|---|---|---|
| ConCon-Chi | 2024 | 20 | GitHub | with ConCon-Chi |
| PODS | 2024 | 100 | GitHub | with personalized-rep |
| MC-LLaVA | 2024 | – | GitHub | with MC-LLaVA, multiple concepts |
| Yo’LLaVA | 2024 | 40 | GitHub | with Yo’LLaVA, single concept |
| MyVLM | 2024 | 29 | GitHub | with MyVLM, single concept |
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And good luck with your research! 🤗✨