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LLM

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freeskyĀ  submitted a paper about 12 hours ago
HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
artpliĀ  authored a paper about 23 hours ago
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
QianccccĀ  updated a dataset 1 day ago
OpenMOSS-Team/FutureOmni
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Papers

HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs

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Introduction šŸ‘‹

OpenMOSS Team is a research group under the Shanghai Innovation Institution (SII), working in close collaboration with Fudan University and MOSI Intelligence. Led by Prof. Xipeng Qiu, the team conducts cutting-edge research on large language models (LLMs), advancing the frontiers of model architecture, evaluation, and application with a strong commitment to open, collaborative, and impactful AI innovation.

We warmly welcome researchers, students, and collaborators who share our vision to join us in pushing the boundaries of LLM technology. For inquiries or collaboration opportunities, please contact us at [email protected] .

šŸŒ Website: http://openmoss.sii.edu.cn/

šŸ’» GitHub: https://github.com/OpenMOSS

  • SII is dedicated to fostering innovation in education and research in the field of artificial intelligence.

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