Image de couverture de livre

Can Large Language Models Identify Authorship?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Baixiang, Chen, Canyu, Shu, Kai
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges
par: Huang, Baixiang, et autres
Publié: (2024)

Can Knowledge Editing Really Correct Hallucinations?
par: Huang, Baixiang, et autres
Publié: (2024)

Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation
par: Wang, Haoran, et autres
Publié: (2025)

Can LLM-Generated Misinformation Be Detected?
par: Chen, Canyu, et autres
Publié: (2023)

Can Editing LLMs Inject Harm?
par: Chen, Canyu, et autres
Publié: (2024)

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
par: Chen, Canyu, et autres
Publié: (2024)

Can Large Language Model Agents Simulate Human Trust Behavior?
par: Xie, Chengxing, et autres
Publié: (2024)

ALMs: Authorial Language Models for Authorship Attribution
par: Huang, Weihang, et autres
Publié: (2024)

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation
par: Li, Tong, et autres
Publié: (2025)

Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
par: Beigi, Alimohammad, et autres
Publié: (2024)

Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin
par: Schmidt, Gleb, et autres
Publié: (2024)

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm
par: Huang, Baixiang, et autres
Publié: (2025)

Towards Effective Model Editing for LLM Personalization
par: Huang, Baixiang, et autres
Publié: (2025)

Authorship Without Writing: Large Language Models and the Senior Author Analogy
par: Hurshman, Clint, et autres
Publié: (2025)

Multilingual Brain Surgeon: Large Language Models Can be Compressed Leaving No Language Behind
par: Zeng, Hongchuan, et autres
Publié: (2024)

Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts?
par: Aggazzotti, Cristina, et autres
Publié: (2023)

Unraveling Interwoven Roles of Large Language Models in Authorship Privacy: Obfuscation, Mimicking, and Verification
par: Nguyen, Tuc, et autres
Publié: (2025)

An Actor-Critic Approach to Boosting Text-to-SQL Large Language Model
par: Zheng, Ziyang, et autres
Publié: (2024)

Identifying and Analyzing Performance-Critical Tokens in Large Language Models
par: Bai, Yu, et autres
Publié: (2024)

Can Large Language Models Master Complex Card Games?
par: Wang, Wei, et autres
Publié: (2025)

Where Does Authorship Signal Emerge in Encoder-Based Language Models?
par: Kulumba, Francis, et autres
Publié: (2026)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
par: Hu, Yujia, et autres
Publié: (2024)

Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?
par: Patel, Ajay, et autres
Publié: (2022)

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
par: Wang, Jingyuan, et autres
Publié: (2025)

Can Large Language Models Detect Rumors on Social Media?
par: Liu, Qiang, et autres
Publié: (2024)

Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?
par: Hu, Yutong, et autres
Publié: (2024)

Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling
par: Katsios, Gregorios A, et autres
Publié: (2024)

Can Large Language Models Express Uncertainty Like Human?
par: Tao, Linwei, et autres
Publié: (2025)

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content
par: Huang, Chen, et autres
Publié: (2025)

XAM: Interactive Explainability for Authorship Attribution Models
par: Alshomary, Milad, et autres
Publié: (2025)

Authorship Impersonation via LLM Prompting does not Evade Authorship Verification Methods
par: Zeng, Baoyi, et autres
Publié: (2026)

Can Language Models Identify Side Effects of Breast Cancer Radiation Treatments?
par: Seah, Natalie, et autres
Publié: (2026)

Probing Large Language Models in Reasoning and Translating Complex Linguistic Puzzles
par: Lin, Zheng-Lin, et autres
Publié: (2025)

CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models
par: Zhang, Tong, et autres
Publié: (2024)

Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations
par: Wang, Haoran, et autres
Publié: (2026)

Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
par: Chen, Lihu, et autres
Publié: (2024)

Can Large Language Models Automatically Jailbreak GPT-4V?
par: Wu, Yuanwei, et autres
Publié: (2024)

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
par: Lin, Zhengkai, et autres
Publié: (2024)

Can Large Language Models Understand Context?
par: Zhu, Yilun, et autres
Publié: (2024)

Can Large Language Models Understand Real-World Complex Instructions?
par: He, Qianyu, et autres
Publié: (2023)