Dingtalk DeepResearch: A Unified Multi Agent Framework for Adaptive Intelligence in Enterprise Environments
Mengyuan Chen, Chengjun Dai, Xinyang Dong, Chengzhe Feng, Kewei Fu, Jianshe Li, Zhihan Peng, Yongqi Tong, Junshao Zhang, Hong Zhu
TL;DR
Dingtalk DeepResearch introduces a comprehensive multi-agent framework designed to enhance adaptive intelligence in enterprise settings through advanced reasoning and multimodal report generation.
Contribution
It presents a novel unified multi-agent framework tailored for enterprise environments, integrating deep research, heterogeneous reasoning, and multimodal reporting capabilities.
Findings
Effective multi-agent coordination in enterprise tasks
Enhanced reasoning with heterogeneous data sources
Improved multimodal report generation
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.