XAM: Interactive Explainability for Authorship Attribution Models
Analysis
The article introduces XAM, a method for improving the explainability of authorship attribution models. The focus is on interactive techniques, suggesting a user-centered approach to understanding model decisions. The source being ArXiv indicates this is likely a research paper, focusing on a specific technical contribution.
Key Takeaways
Reference
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