3 citations · 3 across the 1 of their papers we have counts for
3 papers
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.LG2026
What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies
Fan Zhang, Shiming Fan, Hua Wang
Multivariate time series forecasting is critical in many real-world systems, and thus modeling cross-channel dependencies is essential. Although existing methods improve overall ac…
cs.CL2024★ 3 cited
Improving Large Models with Small models: Lower Costs and Better Performance
Dong Chen, Shuo Zhang, Yueting Zhuang +4
Pretrained large models (PLMs), such as ChatGPT, have demonstrated remarkable performance across diverse tasks. However, the significant computational requirements of PLMs have dis…