Generalized Visual Language Models
lilianweng.github.io- Category
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- ARTICLE
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- @lilianweng
- Added
- Jul 21, 2026
About
Processing images to generate text, such as image captioning and visual question-answering, has been studied for years. Traditionally such systems rely on an object detection network as a vision encoder to capture visual features and then produce text via a text decoder. Given a large amount of existing literature, in this post, I would like to only focus on one approach for solving vision language tasks, which is to extend pre-trained generalized language models to be capable of consuming visua
Why it made the leaderboard
A structured survey of how to graft visual understanding onto pre-trained language models, covering the design choices behind modern VLMs — useful grounding for anyone building or fine-tuning multimodal AI systems.
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