Papers Authorship Verification
“Authorship Verification” 태그가 달린 논문 68편 · 필터 해제
Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification
Recent advancements in large language models (LLMs) have been fueled by large scale training corpora drawn from diverse sources such as websites, news articles, and books. These datasets often contain explicit user infor…
ArticlesAuthorship VerificationHuman-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence
As human-AI collaboration becomes increasingly prevalent in educational contexts, understanding and measuring the extent and nature of such interactions pose significant challenges. This research investigates the use of …
Authorship VerificationMasks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification
The increasing use of Artificial Intelligence (AI) technologies, such as Large Language Models (LLMs) has led to nontrivial improvements in various tasks, including accurate authorship identification of documents. Howeve…
Adversarial RobustnessAuthorship VerificationTokenization is Sensitive to Language Variation
Variation in language is ubiquitous and often systematically linked to regional, social, and contextual factors. Tokenizers split texts into smaller units and might behave differently for less common linguistic forms. Th…
Authorship VerificationThe \textit{Questio de aqua et terra}: A Computational Authorship Verification Study
The Questio de aqua et terra is a cosmological treatise traditionally attributed to Dante Alighieri. However, the authenticity of this text is controversial, due to discrepancies with Dante's established works and to the…
Authorship Verificationtext-classificationText ClassificationSui Generis: Large Language Models for Authorship Attribution and Verification in Latin
This paper evaluates the performance of Large Language Models (LLMs) in authorship attribution and authorship verification tasks for Latin texts of the Patristic Era. The study showcases that LLMs can be robust in zero-s…
Authorship AttributionAuthorship VerificationDecision MakingFeature EngineeringAddressing Topic Leakage in Cross-Topic Evaluation for Authorship Verification
Authorship verification (AV) aims to identify whether a pair of texts has the same author. We address the challenge of evaluating AV models' robustness against topic shifts. The conventional evaluation assumes minimal to…
Authorship VerificationInstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
Large Language Models (LLMs) have demonstrated remarkable proficiency in a wide range of NLP tasks. However, when it comes to authorship verification (AV) tasks, which involve determining whether two given texts share th…
Authorship Verificationparameter-efficient fine-tuningCAVE: Controllable Authorship Verification Explanations
Authorship Verification (AV) (do two documents have the same author?) is essential in many sensitive real-life applications. AV is often used in proprietary domains that require a private, offline model, making SOTA onli…
Authorship VerificationImproving Quotation Attribution with Fictional Character Embeddings
Humans naturally attribute utterances of direct speech to their speaker in literary works. When attributing quotes, we process contextual information but also access mental representations of characters that we build and…
AttributeAuthorship VerificationExploration of Masked and Causal Language Modelling for Text Generation
Large Language Models (LLMs) have revolutionised the field of Natural Language Processing (NLP) and have achieved state-of-the-art performance in practically every task in this field. However, the prevalent approach used…
Authorship VerificationLanguage Modellingtext-classificationText Classification+1Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation
Authorship Verification (AV) is a text classification task concerned with inferring whether a candidate text has been written by one specific author or by someone else. It has been shown that many AV systems are vulnerab…
Authorship VerificationData Augmentationtext-classificationText ClassificationAuthorship Verification based on the Likelihood Ratio of Grammar Models
Authorship Verification (AV) is the process of analyzing a set of documents to determine whether they were written by a specific author. This problem often arises in forensic scenarios, e.g., in cases where the documents…
Authorship VerificationCan Large Language Models Identify Authorship?
The ability to accurately identify authorship is crucial for verifying content authenticity and mitigating misinformation. Large Language Models (LLMs) have demonstrated an exceptional capacity for reasoning and problem-…
Authorship AttributionAuthorship VerificationDistinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution
Recent approaches to automatically detect the speaker of an utterance of direct speech often disregard general information about characters in favor of local information found in the context, such as surrounding mentions…
Authorship VerificationCan Authorship Attribution Models Distinguish Speakers in Speech Transcripts?
Authorship verification is the task of determining if two distinct writing samples share the same author and is typically concerned with the attribution of written text. In this paper, we explore the attribution of trans…
Authorship AttributionAuthorship VerificationExplainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective
While a substantial amount of work has recently been devoted to enhance the performance of computational Authorship Identification (AId) systems, little to no attention has been paid to endowing AId systems with the abil…
Authorship AttributionAuthorship VerificationcounterfactualExplainable artificial intelligence+1Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification
Authorship verification (AV) is a fundamental task in natural language processing (NLP) and computational linguistics, with applications in forensic analysis, plagiarism detection, and identification of deceptive content…
Authorship VerificationIDTraffickers: An Authorship Attribution Dataset to link and connect Potential Human-Trafficking Operations on Text Escort Advertisements
Human trafficking (HT) is a pervasive global issue affecting vulnerable individuals, violating their fundamental human rights. Investigations reveal that a significant number of HT cases are associated with online advert…
Authorship AttributionAuthorship VerificationICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
While state-of-the-art large language models (LLMs) can excel at adapting text from one style to another, current work does not address the explainability of style transfer models. Recent work has explored generating tex…
Authorship AttributionAuthorship VerificationFormality Style TransferIn-Context Learning+1