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Fenghua Ling

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#artificial intelligence Preprint Oct 2026

RISR: Residual-Informed Scientific Equation Discovery with Large Language Models

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
Aug 2026

FengYuan: An End-to-End Global Weather Forecasting Model Driven by Multi-Source Observational Data

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. · 0 citations
Preprint Aug 2026

AgentPanel: Toward a New Paradigm for Human--AI Collaboration in Exploring Scientific Questions

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
Preprint Aug 2026

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination

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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