1 citations · 1 across the 2 of their papers we have counts for
3 papers
Molecular Déjà Vu: Digit-Level Retrieval of Molecular Properties in Frontier Language Models
Matthias Busch, Marius Tacke, Sviatlana V. Lamaka +4
Large language models (LLMs) are increasingly employed to predict molecular properties. However, prediction error alone cannot distinguish prediction from retrieval of published va…
In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowledge Conflicts
Matthias Busch, Marius Tacke, Sviatlana V. Lamaka +4
The capabilities of large language models (LLMs) have expanded beyond natural language processing to scientific prediction tasks, including molecular property prediction. However,…
Practices, Challenges, and Opportunities When Inferring Requirements From Regulations in the FinTech Sector - An Industrial Study
Parisa Elahidoost, Daniel Mendez, Michael Unterkalmsteiner +3
[Context and motivation]: Understanding and interpreting regulatory norms and inferring software requirements from them is a critical step towards regulatory compliance, a matter o…