Author

Jun Yao

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Preprint Sep 2026

SymbolicLM: Training Language Models as Symbolic Regressors

Experiments on multiple symbolic regression benchmarks show that SymbolicLM substantially improves structural recovery while maintaining competitive numerical fitting performance, demonstrating that symbolic regression can be explicitly learned as an intrinsic capability of LLMs.

Jun Yao, Ying-Fan Hua, Rui-Kun Li et al. · 0 citations

Preprint Jul 2026

Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning

SciReasoner is introduced, a multimodal scientific foundation model for native structural reasoning across proteins, small molecules and inorganic crystals that connects accurate prediction with interpretable scientific inference.

Chen Tang, Yizhou Wang, Jianyu Wu et al. · 1 citation