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Ovis-1.6: An Open-Source Multimodal Large Language Model (MLLM) Architecture Designed to Structurally Align Visual and Textual Embeddings

Marktechpost

Similarly, in the RealWorldQA benchmark, Ovis outperformed leading proprietary models such as GPT4V and Qwen-VL-Plus, scoring 2230, compared to GPT4V’s 2038. For instance, in the MathVista-Mini benchmark, Ovis scored 1808, significantly higher than its competitors. to 14.1%, depending on the specific benchmark.