Article

Vision–Language Foundation Models and Multimodal Large Language Models: A Comprehensive Survey of Architectures, Benchmarks, and Open Challenges

2026-02-06

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...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: e8ef14ac-510b-50be-b336-39ff909cd090
DOI: 10.20944/preprints202602.0467.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Vision–Language Foundation Models and Multimodal Large Language Models: A Comprehensive Survey of Architectures, Benchmarks, and Open ChallengesDOI 10.20944/preprints202602.0467.v1Read

Vision–Language Foundation Models and Multimodal Large Language Models: A Comprehensive Survey of Architectures, Benchmarks, and Open ChallengesSemantic proximity Read

A Review of Multimodal Vision–Language Models: Foundations, Applications, and Future DirectionsSemantic proximity Read

A Review of Multimodal Vision-Language Models: Foundations, Applications, and Future DirectionsSemantic proximity Read

Context-Aware Feature Integration for Enhanced Fine-Grained Understanding in Vision-Language ModelsSemantic proximity Read

Fine-Grained Multimodal Alignment and Iterative Rectification Learning FrameworkSemantic proximity Read

A Comparative Survey of Large Language Models: Foundation, Instruction-Tuned, and Multimodal VariantsSemantic proximity Read

Tarsier2: Advancing Large Vision-Language Models from Detailed Video Descriptions to Comprehensive Video UnderstandingSemantic proximity Read

RobustVLM: Enhancing Large Vision-Language Models through Adaptive Visual Context Learning, Weak-to-Strong Robust Transfer, and Domain-Adaptive FeedbackSemantic proximity Read

Unified Generative Vision-Language UnderstandingSemantic proximity Read

RNIC-A Retrospect Network for image captioningSemantic proximity Read

A Comparative Survey of CNN-LSTM Architectures for Image CaptioningSemantic proximity Read

FineRegion-LM: Enhancing Large Vision-Language Models for Fine-Grained Region-Level UnderstandingSemantic proximity Read