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Visual Instruction Tuning
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2025-12-13 15:14:46
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LLaVA LLaVA: L arge L anguage a nd V ision A ssistant Visual Instruction Tuning NeurIPS 2023 (Oral) Haotian Liu * , Chunyuan Li * , Qingyang Wu , Yong Jae Lee ▶ University of Wisconsin-Madison ▶ Microsoft Research ▶ Columbia University * Equal Contribution arXiv arXiv (LLaVA-1.5) Code Demo Dataset Model 🔥 [NEW!] LLaVA-1.5 achieves SoTA on 11 benchmarks, with just simple modifications to the original LLaVA, utilizes all public data, completes training in ~1 day on a single 8-A100 node, and surpasses methods that use billion-scale data. LLaVA represents a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding, achieving impressive chat capabilities mimicking spirits of the multimodal GPT-4 and setting a new state-of-the-art accuracy on Science...
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