A New Paradigm for Multi-Agent Routing: Directing Large Models

A New Paradigm for Multi-Agent Routing: Directing Large Models

With the rise of the Model Context Protocol (MCP) ecosystem, an Assistant may be supported by hundreds of tools/sub-Agents. Stuffing all tool descriptions into the Prompt? → Starting at 4,600+ tokens, which is painfully expensive. Selecting an Agent before choosing tools? → Coarse-grained descriptions often bury “hidden treasure tools”. Using only a single tool? → … Read more

NATivE: Multi-modal Knowledge Graph Completion in the Wild

NATivE: Multi-modal Knowledge Graph Completion in the Wild

NATivE: Multi-modal Knowledge Graph Completion in the Wild Authors: Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen Deep-Dive Summary: NATivE: Multi-modal Knowledge Graph Completion in the Wild Abstract Multi-modal knowledge graph completion (MMKGC) aims to automatically discover unobserved factual knowledge from a given multi-modal knowledge graph by … Read more