Cover Image

DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Jiachen, Guo, Chun-Le, Li, Chongyi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Detectability of LLM-Generated Text: What Exactly Is LLM-Generated Text?
by: Geng, Mingmeng, et al.
Published: (2025)

Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling
by: La Cava, Lucio, et al.
Published: (2026)

Machine Learning for Detection and Analysis of Novel LLM Jailbreaks
by: Hawkins, John, et al.
Published: (2025)

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
by: Najjar, Ayat A., et al.
Published: (2025)

OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
by: La Cava, Lucio, et al.
Published: (2025)

Feature-Augmented Transformers for Robust AI-Text Detection Across Domains and Generators
by: Mady, Mohamed, et al.
Published: (2026)

Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text
by: Bao, Guangsheng, et al.
Published: (2025)

The Algorithmic Caricature: Auditing LLM-Generated Political Discourse Across Crisis Events
by: Gunjan, et al.
Published: (2026)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
by: Liu, Xiaoze, et al.
Published: (2024)

Detecting the Machine: A Comprehensive Benchmark of AI-Generated Text Detectors Across Architectures, Domains, and Adversarial Conditions
by: Baidya, Madhav S., et al.
Published: (2026)

Towards Fairness Assessment of Dutch Hate Speech Detection
by: Bauer, Julie, et al.
Published: (2025)

A Cross-Cultural Assessment of Human Ability to Detect LLM-Generated Fake News about South Africa
by: Schlippe, Tim, et al.
Published: (2025)

Authorship Attribution in Multilingual Machine-Generated Texts
by: La Cava, Lucio, et al.
Published: (2025)

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models
by: Alsagheer, Dana, et al.
Published: (2025)

Towards Weakly-Supervised Hate Speech Classification Across Datasets
by: Jin, Yiping, et al.
Published: (2023)

SynBullying: A Multi LLM Synthetic Conversational Dataset for Cyberbullying Detection
by: Kazemi, Arefeh, et al.
Published: (2025)

StyleDecipher: Robust and Explainable Detection of LLM-Generated Texts with Stylistic Analysis
by: Li, Siyuan, et al.
Published: (2025)

Evaluating Large Language Models for Detecting Antisemitism
by: Patel, Jay, et al.
Published: (2025)

Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
by: Yu, Xiaomin, et al.
Published: (2024)

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains
by: Chen, Zhihui, et al.
Published: (2025)

Toward Robust Legal Text Formalization into Defeasible Deontic Logic using LLMs
by: Horner, Elias, et al.
Published: (2025)

Exploring Persona-dependent LLM Alignment for the Moral Machine Experiment
by: Kim, Jiseon, et al.
Published: (2025)

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)

Survival at Any Cost? LLMs and the Choice Between Self-Preservation and Human Harm
by: Mohamadi, Alireza, et al.
Published: (2025)

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025)

Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT
by: Tao, Zhen, et al.
Published: (2024)

Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies
by: Meguellati, Elyas, et al.
Published: (2025)

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection
by: Wang, Bing, et al.
Published: (2026)

Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
by: La Cava, Lucio, et al.
Published: (2024)

Grounding Text Embeddings in Stakeholder Associations
by: Rystrøm, Jonathan, et al.
Published: (2026)

"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
by: Ding, Junchen, et al.
Published: (2025)

Complete Evasion, Zero Modification: PDF Attacks on AI Text Detection
by: Creo, Aldan
Published: (2025)

EduIllustrate: Towards Scalable Automated Generation Of Multimodal Educational Content
by: Bi, Shuzhen, et al.
Published: (2026)

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains
by: Liu, Qianchu, et al.
Published: (2025)

Decoding Multilingual Moral Preferences: Unveiling LLM's Biases Through the Moral Machine Experiment
by: Vida, Karina, et al.
Published: (2024)

Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
by: Ji, Jiazhou, et al.
Published: (2024)

LLM Nepotism in Organizational Governance
by: Mao, Shunqi, et al.
Published: (2026)

Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text
by: Islam, Tunazzina
Published: (2026)

Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play
by: Zeng, Yifan, et al.
Published: (2024)

How Do Language Models Process Ethical Instructions? Deliberation, Consistency, and Other-Recognition Across Four Models
by: Fukui, Hiroki
Published: (2026)