SOTAVerified

Authorship Verification

Authorship verification (AV) is a research subject in the field of digital text forensics that concerns itself with the question, whether two documents have been written by the same person.

Definition taken from the paper Assessing the Applicability of Authorship Verification Methods, available at:

Papers

Showing 5168 of 68 papers

TitleStatusHype
Explainable Authorship Verification in Social Media via Attention-based Similarity LearningCode0
Generalizing Unmasking for Short TextsCode0
GLAD: Groningen Lightweight Authorship DetectionCode0
Heuristic Authorship ObfuscationCode0
ICLEF: In-Context Learning with Expert Feedback for Explainable Style TransferCode0
Identifying Copied Fragments in a 18th Century Dutch ChronicleCode0
Image Provenance Analysis at ScaleCode0
Improving Quotation Attribution with Fictional Character EmbeddingsCode0
InstructAV: Instruction Fine-tuning Large Language Models for Authorship VerificationCode0
Similarity Learning for Authorship Verification in Social MediaCode0
LG4AV: Combining Language Models and Graph Neural Networks for Author VerificationCode0
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship VerificationCode0
Leveraging Ensembles and Self-Supervised Learning for Fully-Unsupervised Person Re-Identification and Text Authorship AttributionCode0
Same Author or Just Same Topic? Towards Content-Independent Style RepresentationsCode0
Same or Different? Diff-Vectors for Authorship AnalysisCode0
Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate ShiftCode0
Rethinking the Authorship Verification Experimental SetupsCode0
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark WebCode0
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