A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges
Published in CVPR Workshop 2025 (Oral), 2025
A comprehensive survey of VLMs covering model architectures, alignment methods, benchmarks, and challenges including hallucination, fairness, and safety.
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Recommended citation: Zongxia Li*, Xiyang Wu*, Hongyang Du, Fuxiao Liu, Huy Nghiem, Guangyao Shi. (2025). "A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges." CVPR Workshop on Multimodal Learning (Oral).
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