Author

Henry Kvinge

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Jul 2026

TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning

Over the last decade, neural networks have been applied to an increasingly diverse range of applications, including data with rich geometric, topological, or symmetry-related structure. As a result, researchers have increasingly drawn inspiration from topology, algebra, and geometry. Despite this rich algorithmic devel...

Brendan Kennedy, T. Emerson, G. Roek et al. · arXiv.org · 0 citations

#machine learning Preprint Aug 2026

The Calls are Coming from Inside the Model: Investigating Probe-based Detection of Tool-Calling Errors in LLMs

Overall, it is found that probing is an effective means to catch a range of different tool-calling errors, including errors arising from using an argument that has the wrong value but the correct type, which might not be recorded by standard logging frameworks.

Eric C. Yeats, Brendan Kennedy, Loc Truong et al. · 0 citations