Bas van Stein

Leiden University — Netherlands

Computer Science · Physical Sciences

18h-index1.1kcitations141works2.72yr avg
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Research Topics

Advanced Multi-Objective Optimization Algorithms(36), Metaheuristic Optimization Algorithms Research(29), Evolutionary Algorithms and Applications(25), Machine Learning and Data Classification(20), Explainable Artificial Intelligence (XAI)(15)

Publications141 total

Agentic Large Language Models, a Survey
Journal of Artificial Intelligence Research·2025· 11 citedOpen Access
Mechanistic Interpretability for Transformer-based Time Series Classification
arXiv (Cornell University)·2025Open Access
From Performance to Understanding: A Vision for Explainable Automated Algorithm Design
arXiv (Cornell University)·2025Open Access
Benchmarking that Matters: Rethinking Benchmarking for Practical Impact
arXiv (Cornell University)·2025Open Access
REMAINING USEFUL LIFE IN COMPLEX MULTI-COMPONENT SYSTEMS: TAXONOMY, REVIEW, AND RESEARCH DIRECTIONS
2025Open Access
Multi-Step Reasoning with Large Language Models, a Survey
ACM Computing Surveys·2025· 8 citedOpen Access
EvoCAD: Evolutionary CAD Code Generation with Vision Language Models
2025
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
arXiv (Cornell University)·2025Open Access
CoComposer: LLM Multi-agent Collaborative Music Composition
arXiv (Cornell University)·2025Open Access
How does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding
arXiv (Cornell University)·2025Open Access
Explainable Benchmarking for Iterative Optimization Heuristics
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2025· 2 cited
Structural bias in optimization algorithms
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2025Open Access
Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2025· 2 citedOpen Access
Neighborhood Adaptive Differential Evolution
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2025· 1 cited
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2025· 2 citedOpen Access
LLaMEA: Automatically Generating Metaheuristics with Large Language Models
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2025Open Access
Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
Proceedings of the Genetic and Evolutionary Computation Conference·2025· 3 citedOpen Access
Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects
2025
Leveraging Lightweight Generators for Memory Efficient Continual Learning
arXiv (Cornell University)·2025Open Access
Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Thomas Bäck(39), Michael Emmerich(8), Diederick Vermetten(8), Anna V. Kononova(7), Roy de Winter(6), Thiago Rios(6), Bernhard Sendhoff(6), Stefan Menzel(6), Hao Wang(5), Hao Wang(5), Wojtek Kowalczyk(5), Fu Xing Long(4), Fabio Caraffini(4), Moritz Frenzel(3), Peter Krause(3), Markus Gitterle(3), Patricia Wollstadt(3), Aske Plaat(3), Alexander Zeiser(2), Bekir Özcan(2)