Cover Image

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Yuhui, Yang, Yehan, Sheng, Qiang, Mi, Hao, Hu, Beizhe, Xu, Chaoxi, Cao, Juan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling
by: Shi, Yuhui, et al.
Published: (2024)

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
by: Hu, Beizhe, et al.
Published: (2025)

From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring
by: Li, Yang, et al.
Published: (2025)

Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models
by: Nan, Qiong, et al.
Published: (2024)

Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation
by: Bu, Yuyan, et al.
Published: (2025)

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
by: Wang, Zhengjia, et al.
Published: (2025)

Beyond the Final Actor: Modeling the Dual Roles of Creator and Editor for Fine-Grained LLM-Generated Text Detection
by: Li, Yang, et al.
Published: (2026)

Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments
by: Mi, Hao, et al.
Published: (2026)

The Staircase of Ethics: Probing LLM Value Priorities through Multi-Step Induction to Complex Moral Dilemmas
by: Wu, Ya, et al.
Published: (2025)

TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents
by: Jin, Hyundong, et al.
Published: (2025)

FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process
by: Bu, Yuyan, et al.
Published: (2024)

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

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting
by: Nan, Qiong, et al.
Published: (2023)

Interactive Surgical Liver Phantom for Cholecystectomy Training
by: Schuessler, Alexander, et al.
Published: (2024)

The Unseen Targets of Hate -- A Systematic Review of Hateful Communication Datasets
by: Yu, Zehui, et al.
Published: (2024)

Exploring news intent and its application: A theory-driven approach
by: Wang, Zhengjia, et al.
Published: (2023)

DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models
by: Fu, Jiachen, et al.
Published: (2025)

Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging
by: Lu, Pinxian, et al.
Published: (2025)

Do Androids Dream of Unseen Puppeteers? Probing for a Conspiracy Mindset in Large Language Models
by: Corso, Francesco, et al.
Published: (2025)

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text
by: Najjar, Ayat, et al.
Published: (2025)

Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods
by: Fraser, Kathleen C., et al.
Published: (2024)

Firstborn Advantage in the Ivory Tower: Mass Science, Expanding Scholarly Families, and the Reshaping of Academic Stratification
by: Cao, Likun, et al.
Published: (2026)

Cyberbullying in Text Content Detection: An Analytical Review
by: Azumah, Sylvia W, et al.
Published: (2023)

An LLM-based Chain-of-Response Counter-Scam System
by: Kim, Heedou, et al.
Published: (2026)

Quantifying the Persona Effect in LLM Simulations
by: Hu, Tiancheng, et al.
Published: (2024)

Navigating the Risks of Using Large Language Models for Text Annotation in Social Science Research
by: Lin, Hao, et al.
Published: (2025)

Less is More: Unseen Domain Fake News Detection via Causal Propagation Substructures
by: Gong, Shuzhi, et al.
Published: (2024)

An Attention-Based Denoising Framework for Personality Detection in Social Media Texts
by: Lin, Lei, et al.
Published: (2023)

LM$^2$otifs : An Explainable Framework for Machine-Generated Texts Detection
by: Zheng, Xu, et al.
Published: (2025)

Research on Violent Text Detection System Based on BERT-fasttext Model
by: Yang, Yongsheng, et al.
Published: (2024)

LLM-based Semantic Augmentation for Harmful Content Detection
by: Meguellati, Elyas, et al.
Published: (2025)

Navigating the Prompt Space: Improving LLM Classification of Social Science Texts Through Prompt Engineering
by: Gunes, Erkan, et al.
Published: (2026)

Emotion-Aware Multimodal Fusion for Meme Emotion Detection
by: Sharma, Shivam, et al.
Published: (2024)

Can LLM be a Personalized Judge?
by: Dong, Yijiang River, et al.
Published: (2024)

Peeking Behind Closed Doors: Risks of LLM Evaluation by Private Data Curators
by: Bansal, Hritik, et al.
Published: (2025)

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

Tracing the Unseen: Uncovering Human Trafficking Patterns in Job Listings
by: Zhou, Siyi, et al.
Published: (2024)

Explore the Potential of LLMs in Misinformation Detection: An Empirical Study
by: Chen, Mengyang, et al.
Published: (2023)

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