Author

Wei-Ting Liu

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#machine learning Preprint Sep 2026

LLMs as Adaptive Meta-Solvers: Strategy-Diverse RL for Industrial-Scale Optimization

Scaling LLM-based optimization from textbook-scale instances to real-world, industrial tasks remains a critical open challenge. Existing approaches are predominantly evaluated on small, self-contained textual problems and often commit to a solver-integrated paradigm, limiting their ability to handle the scale and struc...

Shi-Hao Zhang, Wei-Ting Liu, Si-Yu Shao et al. · 0 citations

Jul 2026

SymBOL: A General-Purpose Symbolic Learner for Scientific Discovery Using Bayesian Optimization-Enhanced Large Language Models.

SymBOL accurately recovers governing equations and provides interpretable pathways for equation discovery when applied to real-world systems in materials science and epidemiology, and underscores the potential of SymBOL for advancing scientific discovery.

Jiaxu Cui, Qifei Li, Wei-Ting Liu et al. · IEEE Transactions on Pattern... · 0 citations