arxiv
PublishedJune 2, 2026 at 4:00 AM
A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Transformer-Based Language Models
Publisher summary· verbatim
arXiv:2601.17952v2 Announce Type: replace-cross Abstract: Interpretability remains a key challenge for deploying language models (LM) in clinical settings such as progression diagnosis of Alzheimer disease, where early and trustworthy predictions are essential. Existing attribution methods exhibit h
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivFederatedSkill: Federated Learning for Agentic Skill Evolution12harxivToward a Modular Architecture for Embedded AI Agent Systems at the Edge12harxivA Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation12harxivAnomalies in Multivariate Time Series Benchmarks Are Mostly Univariate12hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗