Hugging Face Trending Papers
Contrastive Learning for Authorship Verification
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arXiv Machine Learning
1d ago
Contrastive Learning for Authorship Verification
arXiv:2609.28471v1 Announce Type: cross Abstract: Our results show that contrastive learning outperforms a classification-based approach to authorship verification under the tested settings. We ident...
arXiv AI
Sep 10
AuthBench: A Large-Scale Multilingual Benchmark for Authorship Representation across Genres and Lengths
arXiv:2609.06771v1 Announce Type: cross Abstract: Authorship signals matter in settings where writing style carries identity: digital forensics, plagiarism analysis, account linking, misinformation i...
Hugging Face Trending Papers
Aug 18
When Writing Style Drifts: Benchmarking Authorship Verification under Distribution Shifts in Genre, Time and the AI-Era
Authorship verification (AV) assumes that an author's writing style remains sufficiently stable to distinguish it from that of other writers. In practice, however, this assumption is challenged by dis...
arXiv AI
Sep 17
AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing
AuthorMix is a lightweight, modular framework for authorship style transfer that uses layer‑wise adapter mixing. It trains individual style‑specific LoRA adapters on a small set of high‑resource authors, enabling rapid adaptation to new target styles with only a few examples. The method achieves the highest combined style‑meaning score among baselines, including GPT‑5.1, and improves meaning preservation, as confirmed by human evaluation.
arXiv AI
Jun 2
AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection
arXiv:2606. 00016v1 Announce Type: cross Abstract: Detecting AI-generated text is becoming increasingly challenging as modern language models approach human-level fluency and can evade detectors that rely on surface statistics or likelihood-based signals.
arXiv AI
Sep 2
One-shot Style Transfer LLM log-probabilities for Authorship Attribution and Verification
arXiv:2510.13302v4 Announce Type: replace-cross Abstract: Computational stylometry studies writing style through quantitative textual patterns, enabling applications such as authorship attribution, i...