Article
Vision–Language Foundation Models and Multimodal Large Language Models: A Comprehensive Survey of Architectures, Benchmarks, and Open Challenges
2026-02-09
Abstract excerpt
Vision-based multimodal learning has experienced rapid advancement through the integration of large-scale vision-language models (VLMs) and multimodal large language models (MLLMs). In this review, we adopt a historical and task-oriented perspective to systematically examine the evolution of multimodal vision models from early visual-semantic embedding frameworks to modern instruction-tuned MLLMs. We categorize mo...
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Identifiers and source
- Literature Corpus work
- 591eaf3a-c1a6-51b5-8f59-d74bafdd7b8d
- DOI
- 10.20944/preprints202602.0467.v2
