Author

Shixiang Tang

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Preprint Sep 2026

SymbolicLM: Training Language Models as Symbolic Regressors

Large Language Models (LLMs) have shown promising capabilities in scientific reasoning, yet scientific discovery ultimately requires deriving precise laws directly from observational data, known as Symbolic Regression (SR). This poses a challenge for LLMs due to the gap between probabilistic text generation and the exa...

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

Review Jul 2026

SciForge: An AI-Native, Multimodal Workbench for Scientific Discovery

SciForge is a multimodal research-native AI workbench that reserves the graphical interface for human judgment while search, parsing, model routing, workflow execution, plotting, writing, and presentation generation run as modular agent-accessible services.

SciForge Team Zhangyang Gao, Minghao Fang, Yifei Liu et al. · arXiv.org · 0 citations