Bas van Stein
Papers
3
Total Citations
50
H-Index
3
About
Bas van Stein is a leading researcher at the intersection of artificial intelligence and complex systems, with a primary focus on large language models (LLMs) and their reasoning capabilities. His major contributions center on advancing the understanding of how LLMs can move beyond simple text generation to function as autonomous agents capable of multi-step reasoning. In his highly cited 2025 survey, "Agentic Large Language Models, a Survey" (24 citations), van Stein systematically defines the core components of agentic LLMs—reasoning, acting, and interacting—and outlines a critical research agenda for the field. Complementing this, his 2024 and 2025 surveys on "Multi-Step Reasoning with Large Language Models" (13 citations each) provide foundational insights into how LLMs with billions of parameters can be leveraged for complex, sequential problem-solving tasks. This work is particularly notable for identifying the limitations of traditional models on basic reasoning benchmarks and proposing pathways to overcome them. With a growing citation impact and a clear vision for the future of autonomous AI, van Stein’s research is essential reading for anyone interested in the next generation of intelligent, reasoning-driven systems.
Research Focus
Key Achievements
Top Papers
- 1Agentic Large Language Models, a Survey24 citations · 2025
- 2Multi-Step Reasoning with Large Language Models, a Survey13 citations · 2025
- 3Multi-Step Reasoning with Large Language Models, a Survey13 citations · 2024