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We evaluate Kosmos-2 on a wide range of tasks, including (i) multimodal grounding, such as referring expression comprehension, and phrase grounding, (ii) multimodal referring, such as referring expression generation, (iii) perception-language tasks, and (iv) language understanding and generation.
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Together with multimodal corpora, we construct large-scale...
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Overview. The KOSMOS-2 model was proposed in Kosmos-2: Grounding Multimodal Large Language Models to the World by Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei.
June 2023: 🔥 We release the Kosmos-2: Grounding Multimodal Large Language Models to the World paper. Checkout the paper. Feb 2023: Kosmos-1 (Language Is Not All You Need: Aligning Perception with Language Models) June 2022: MetaLM (Language Models are General-Purpose Interfaces)
The KOSMOS-2 model was proposed in Kosmos-2: Grounding Multimodal Large Language Models to the World by Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei. KOSMOS-2 is a Transformer-based causal language model and is trained using the next-word prediction task on a web-scale dataset of grounded image-text pairs GRIT.
Experience the AI Revolution with KOSMOS-2: Microsoft's Cutting-Edge Breakthrough for Real-Time Text, Images, Video & Sound Generation!Get ready to witness t...
29 cze 2023 · Według badań Kosmos-2 jest modelem językowym, który umożliwia nowe możliwości postrzegania opisów obiektów (np. ramek ograniczających) i łączenia tekstu ze światem wizualnym. Reprezentowani badacze odnoszą się do wyrażeń jako odsyłaczy w Markdown, tj. „rozpiętości tekstu”, gdzie opisy obiektów są sekwencjami tokenów ...
KOSMOS-2 Overview. The KOSMOS-2 model was proposed in Kosmos-2: Grounding Multimodal Large Language Models to the World by Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei.
