PReD: An LLM-based Foundation Multimodal Model for Electromagnetic Perception, Recognition, and Decision

ArXi:2603.28183v1 Announce Type: new Multimodal Large Language Models have nstrated powerful cross-modal understanding and reasoning capabilities in general domains. However, in the electromagnetic (EM) domain, they still face challenges such as data scarcity and insufficient integration of domain knowledge. This paper proposes PReD, the first foundation model for the EM domain that covers the intelligent closed-loop of "perception, recognition, decision-making." We constructed a high-quality multitask EM dataset, PReD-1.3M, and an evaluation benchmark, PReD-Bench.