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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 68 papers

TitleStatusHype
On the State of the Art in Authorship Attribution and Authorship VerificationCode1
Can Large Language Models Identify Authorship?Code1
Learning Universal Authorship RepresentationsCode0
Image Provenance Analysis at ScaleCode0
InstructAV: Instruction Fine-tuning Large Language Models for Authorship VerificationCode0
Authorship Attribution Using Text DistortionCode0
Explainable Authorship Verification in Social Media via Attention-based Similarity LearningCode0
CAVE: Controllable Authorship Verification ExplanationsCode0
Heuristic Authorship ObfuscationCode0
Identifying Copied Fragments in a 18th Century Dutch ChronicleCode0
Similarity Learning for Authorship Verification in Social MediaCode0
Authorship verification in the absence of explicit features and thresholdsCode0
Bias Analysis and Mitigation in the Evaluation of Authorship VerificationCode0
Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts?Code0
Authorship Attribution Using Text DistortionCode0
Generalizing Unmasking for Short TextsCode0
Addressing Topic Leakage in Cross-Topic Evaluation for Authorship VerificationCode0
Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New PerspectiveCode0
Datasets and Models for Authorship Attribution on Italian Personal WritingsCode0
GLAD: Groningen Lightweight Authorship DetectionCode0
Authorship Verification based on Compression-ModelsCode0
ICLEF: In-Context Learning with Expert Feedback for Explainable Style TransferCode0
Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation AttributionCode0
A Stylometric Inquiry into Hyperpartisan and Fake NewsCode0
Improving Quotation Attribution with Fictional Character EmbeddingsCode0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.