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OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents

Z. Wang, S. Cai, Z. Mu, H. Lin, C. Zhang, X. Liu, Q. Li, A. Liu, X. Ma, and Y. Liang. In Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), (2024)
DOI: https://doi.org/10.48550/arXiv.2407.00114

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Anji Liu University of Stuttgart

Jan Liu University of Stuttgart

M.Sc. Zhuoran Liu University of Stuttgart

Dexing Liu University of Stuttgart

Yanchao Liu University of Stuttgart

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Balance gate controlled deep neural network.A. Liu, and Y. Laili. Neurocomputing, (2018)OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following AgentsZ. Wang, S. Cai, Z. Mu, H. Lin, C. Zhang, X. Liu, Q. Li, A. Liu, X. Ma, and Y. Liang. In Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), (2024)A Tractable Inference Perspective of Offline RLX. Liu, A. Liu, G. den Broeck, and Y. Liang. In Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), (2024)

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Disambiguation of "Liu, Anji"

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OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents

Please choose a person to relate this publication to

Anji Liu University of Stuttgart

Jan Liu University of Stuttgart

M.Sc. Zhuoran Liu University of Stuttgart

Dexing Liu University of Stuttgart

Yanchao Liu University of Stuttgart

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents

Please choose a person to relate this publication to

Anji Liu University of Stuttgart

Jan Liu University of Stuttgart

M.Sc. Zhuoran Liu University of Stuttgart

Dexing Liu University of Stuttgart

Yanchao Liu University of Stuttgart

Other publications of authors with the same name

Disambiguation

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OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents