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| Autores principales: | , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2510.24760 |
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| _version_ | 1866911238889406464 |
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| author | Chen, Mengyuan Dai, Chengjun Dong, Xinyang Feng, Chengzhe Fu, Kewei Li, Jianshe Peng, Zhihan Tong, Yongqi Zhang, Junshao Zhu, Hong |
| author_facet | Chen, Mengyuan Dai, Chengjun Dong, Xinyang Feng, Chengzhe Fu, Kewei Li, Jianshe Peng, Zhihan Tong, Yongqi Zhang, Junshao Zhu, Hong |
| contents | We present Dingtalk DeepResearch, a unified multi agent intelligence framework for real world enterprise environments, delivering deep research, heterogeneous table reasoning, and multimodal report generation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_24760 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dingtalk DeepResearch: A Unified Multi Agent Framework for Adaptive Intelligence in Enterprise Environments Chen, Mengyuan Dai, Chengjun Dong, Xinyang Feng, Chengzhe Fu, Kewei Li, Jianshe Peng, Zhihan Tong, Yongqi Zhang, Junshao Zhu, Hong Computation and Language Artificial Intelligence We present Dingtalk DeepResearch, a unified multi agent intelligence framework for real world enterprise environments, delivering deep research, heterogeneous table reasoning, and multimodal report generation. |
| title | Dingtalk DeepResearch: A Unified Multi Agent Framework for Adaptive Intelligence in Enterprise Environments |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2510.24760 |