5 papers
IFPV: An Integrated Multi-Agent Framework for Generative Operational Planning and High-Fidelity Plan Verification
Zhigao Huang, Zhengqing Hu, Dong Chen +5
Operational plan generation and verification are critical for modern complex and rapidly changing battlefield environments, yet traditional generation and verification methods stil…
What Will Happen Next: Large Models-Driven Deduction for Emergency Instances
Zhengqing Hu, Dong Chen, Junkun Yuan +6
Traditional simulation methods reproduce occurred emergency instances through presetting to assist people in risk assessment and emergency decision-making. However, due to the lack…
MAFIG: Multi-agent Driven Formal Instruction Generation Framework
Shixing Zhao, Zheng Si, Pengpeng Ouyang +5
Emergency situations in scheduling systems often trigger local functional failures that undermine system stability and even cause system collapse. Existing methods primarily rely o…
Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments
Dong Chen, Zhengqing Hu, Shixing Zhao +1
While the enormous parameter scale endows Large Models (LMs) with unparalleled performance, it also limits their adaptability across specific tasks. Parameter-Efficient Fine-Tuning…
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models
Dong Chen, Zhengqing Hu, Peiguang Fan +5
Vision anomaly detection, particularly in unsupervised settings, often struggles to distinguish between normal samples and anomalies due to the wide variability in anomalies. Recen…