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arXiv · 2512.06924

XAM: Interactive Explainability for Authorship Attribution Models

Milad Alshomary·Anisha Bhatnagar·Peter Zeng·Smaranda Muresan·Owen Rambow·Kathleen McKeown
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Abstract

We present IXAM, an Interactive eXplainability framework for Authorship Attribution Models. Given an authorship attribution (AA) task and an embedding-based AA model, our tool enables users to interactively explore the model's embedding space and construct an explanation of the model's prediction as a set of writing style features at different levels of granularity. Through a user evaluation, we demonstrate the value of our framework compared to predefined stylistic explanations.

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Milad Alshomary, Anisha Bhatnagar, Peter Zeng, Smaranda Muresan, Owen Rambow, Kathleen McKeown. 2025-12-07. XAM: Interactive Explainability for Authorship Attribution Models. https://arxiv.org/abs/2512.06924

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