ALMs: Authorial Language Models for Authorship Attribution

1 code implementation • 22 Jan 2024 • Weihang Huang, Akira Murakami, Jack Grieve

In this paper, we introduce an authorship attribution method called Authorial Language Models (ALMs) that involves identifying the most likely author of a questioned document based on the perplexity of the questioned document calculated for a set of causal language models fine-tuned on the writings of a set of candidate author.

Authorship Attribution