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Author

Sylvia Wenmackers

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Preprint Aug 2026

Simulating is not always understanding: When model complexity obscures biology

It is argued that the field needs to reconsider the goal of complex models, and move away from trying to include as many parameters as possible and instead aim for systematic comparisons with simpler representations, dynamical analysis, and explicit model hierarchies that trace how cellular behavior emerges from its pa...

L. Gelens, Alejandro Fábregas-Tejeda, Grant Ramsey et al. · 0 citations
Open access Jul 2026

HOW DEEP DO LARGE LANGUAGE MODELS INTERNALIZE SCIENTIFIC LITERATURE AND CITATION PRACTICES?

It is found that LLMs systematically reinforce the Matthew effect by favoring highly cited papers, with field-specific variation in the rate at which generated references match real papers in bibliometric databases.

Andres Algaba, Vincent Holst, Floriano Tori et al. · 2 citations

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