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cs.AI2026
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…
cs.AI2026
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…
cs.AI2024
Logic Distillation: Learning from Code Function by Function for Decision-making Tasks
Dong Chen, Shilin Zhang, Fei Gao +4
Large language models (LLMs) have garnered increasing attention owing to their powerful logical reasoning capabilities. Generally, larger LLMs (L-LLMs) that require paid interfaces…