Reading
An open-source paper list comprehensively organizing the development history of large multimodal models, covering key models and review literature from 2021 to 2026, providing a systematic learning roadmap for researchers and developers.
Section 01
The open-source project Awesome-Large-Multimodal-Model maintained by youngtboy on GitHub is a paper list systematically organizing the development of Visual-Language Models (VLMs) from 2021 to 2026. It covers key models such as CLIP, LLaVA, Qwen3-VL, and review literature, providing a learning roadmap for researchers and developers to help clarify the technical evolution path.
Section 02
VLMs have rapidly evolved from image-text alignment to cross-modal reasoning, but dozens of papers and projects emerging each year make it difficult for researchers to locate foundational work, technical trends, and model inheritance relationships. A systematically organized resource repository is urgently needed to address this pain point.
Section 03
The project organizes VLM resources from 2021 to 2026 in a chronological manner. Each entry includes the model's abbreviation, full title, publication conference/journal, paper link, and code repository (if available). Additionally, a Survey section contains 5 review articles to provide introductory guidance for beginners.
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Section 06
Academic researchers can quickly locate key papers and track achievements; industrial developers can evaluate model selection; beginners can start learning from review articles. Recommendations: First read reviews to build a macro understanding, prioritize projects with open-source code, track technical inheritance by year, and consider model design trade-offs in combination with application scenarios.
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