Author

Hadas Orgad

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#artificial intelligence Preprint Sep 2026

When Models Don't Manipulate Manifolds: The Geometry of a Comparison Task

One of the current premises of mechanistic interpretability research is that detailed accounts of the geometry of neural network representations can tell us how models perform computations, and how to effectively intervene on them. While low dimensional manifolds have been observed for multiple concepts in the literatu...

Sai Sumedh R. Hindupur, Hadas Orgad, Thomas Fel et al. · 0 citations

#natural language process... Preprint Apr 2026

A Robust Evaluation of Probe Robustness: Lessons for Reliable OOD Uncertainty Quantification

ProbeDrift is introduced, a systematic evaluation framework for supervised uncertainty probes covering a wide range of OOD settings across models, tasks, and distributional shifts, and it is argued that robust uncertainty estimation requires robust evaluation.

Joe Stacey, Hadas Orgad, Kentaro Inui et al. · 0 citations