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Found 5 papers, 5 papers with code
Learning Universal Authorship Representations
Determining whether two documents were composed by the same author, also known as authorship verification, has traditionally been tackled using statistical methods.
Few-Shot Detection of Machine-Generated Text using Style Representations
Furthermore, given a handful of examples composed by each of several specific language models of interest, our approach affords the ability to predict which model generated a given document.
Can Authorship Representation Learning Capture Stylistic Features?
Automatically disentangling an author's style from the content of their writing is a longstanding and possibly insurmountable problem in computational linguistics.
A Deep Metric Learning Approach to Account Linking
We consider the task of linking social media accounts that belong to the same author in an automated fashion on the basis of the content and metadata of their corresponding document streams.
Learning Invariant Representations of Social Media Users
The evolution of social media users' behavior over time complicates user-level comparison tasks such as verification, classification, clustering, and ranking.
