Symbolic regression combines structural search with numerical fitting, but aggregate fit scores do not describe how the remaining error varies across inputs. We introduce RISR, a residual-informed method that uses these error patterns to guide formula discovery and learn which corrections are worth fitting. A residual...
Hao-Bo Li, Wen-Shuo Zhang, Wen-Xiao Zhao et al.· 0 citations
The complete end-to-end system of FengYuan achieves forecast quality very close to the reanalysis-driven version while consistently outperforming IFS throughout the 10-day forecast period, demonstrating that FengYuan successfully bridges observations to forecasts while maintaining high accuracy.
Zhao-Ming Liang, Yang Li, Ya-Qiang Wang et al.· Journal of Meteorological Re...· 0 citations
This work presents AgentPanel, a multi-agent forum for human--AI collaboration in scientific exploration, a multi-agent forum for human--AI collaboration in scientific exploration that outperforms a centralized multi-agent debate baseline and shows that users value AgentPanel for perspective diversity and exploration s...
Zhi-Yao Cui, Qianyi Wang, Hao Yan et al.· 1 citation
A-SR, a self-evolving agentic framework that shifts the control unit from expression edits to role-conditioned evidence views, is proposed, a self-evolving agentic framework that shifts the control unit from expression edits to role-conditioned evidence views.
Wenxiao Zhao, Dong Liu, Kaiyi Xu et al.· 4 citations
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