Author

Thomas H. W. Back

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#small language model Preprint Sep 2026

EvoMO-SR: Multiobjective LLM-based Evolution of Symbolic Expressions with substructure guidance

EvoMO-SR is proposed, a novel LLM-driven SR framework in which the LLM generates equation skeletons, with their coefficients fitted separately by an external optimizer, which achieves the best accuracy in seven of the eight in-domain and out-of-domain settings for LSR-Synth.

Cristina Rossetti, Anna V. Kononova, Thomas Back et al. · 0 citations

Preprint Jul 2026

LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms

LLM-driven evolutionary search can discover algorithm designs that achieve Pareto-efficient trade-offs difficult to reach through manual design, with SMAC hyperparameter optimization integrated into the evolutionary loop.

G. Laskaris, R. Brasher, Niki van Stein et al. · 0 citations