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The project introduces OmniBench, a novel benchmark designed to rigorously evaluate models' ability to recognize, interpret, and reason across visual, acoustic, and textual inputs simultaneously. We define models capable of such tri-modal processing as omni-language models (OLMs).
This table shows the omni-language models in⦠See the full description on the dataset page:
https://huggingface.co/datasets/m-a-p/OmniInstruct_v1.