A new “semi-formal reasoning” approach forces AI models to trace code paths and justify conclusions, improving accuracy while ...
This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...
Abstract: Accurate prediction of drug-target interactions (DTIs) is crucial for accelerating drug discovery and reducing experimental costs. However, challenges such as sparse interactions and ...
Abstract: To explore the anisotropic nature and improve computational efficiency, eigenvalue (EV-) analysis is adopted to implement the transfer matrix method (TMM), abbreviated as EV-TMM, enabling ...
Libraries such as YData Profiling and Sweetviz help detect patterns and data quality issues Automation reduces repetitive coding and speeds up data science workflows Before any model gets trained and ...
Dion2 reduces the cost of Muon’s orthonormalization step by orthonormalizing only a small, selected submatrix at each iteration. This lightweight approach preserves Muon’s strong performance while ...
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