Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Chenwang, Cheung, Yiu-ming, Han, Bo, Lian, Defu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
by: Wu, Chenwang, et al.
Published: (2025)
by: Wu, Chenwang, et al.
Published: (2025)
Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection
by: Wu, Chenwang, et al.
Published: (2026)
by: Wu, Chenwang, et al.
Published: (2026)
Multi-Level Contextual Token Relation Modeling for Machine-Generated Text Detection
by: Wu, Chenwang, et al.
Published: (2026)
by: Wu, Chenwang, et al.
Published: (2026)
Learning to Substitute Components for Compositional Generalization
by: Li, Zhaoyi, et al.
Published: (2025)
by: Li, Zhaoyi, et al.
Published: (2025)
HumanLLM: Towards Personalized Understanding and Simulation of Human Nature
by: Lei, Yuxuan, et al.
Published: (2026)
by: Lei, Yuxuan, et al.
Published: (2026)
Understanding Privacy Risks of Embeddings Induced by Large Language Models
by: Zhu, Zhihao, et al.
Published: (2024)
by: Zhu, Zhihao, et al.
Published: (2024)
Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models
by: Yang, Zihua, et al.
Published: (2026)
by: Yang, Zihua, et al.
Published: (2026)
SPADE: Structured Prompting Augmentation for Dialogue Enhancement in Machine-Generated Text Detection
by: Li, Haoyi, et al.
Published: (2025)
by: Li, Haoyi, et al.
Published: (2025)
Epistemic Uncertainty for Generated Image Detection
by: Nie, Jun, et al.
Published: (2024)
by: Nie, Jun, et al.
Published: (2024)
Efficient Machine Unlearning via Influence Approximation
by: Liu, Jiawei, et al.
Published: (2025)
by: Liu, Jiawei, et al.
Published: (2025)
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation
by: Zhong, Tianqi, et al.
Published: (2024)
by: Zhong, Tianqi, et al.
Published: (2024)
Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
by: Wang, Yuxia, et al.
Published: (2025)
by: Wang, Yuxia, et al.
Published: (2025)
Interpreting and Improving Large Language Models in Arithmetic Calculation
by: Zhang, Wei, et al.
Published: (2024)
by: Zhang, Wei, et al.
Published: (2024)
TYrPPG: Uncomplicated and Enhanced Learning Capability rPPG for Remote Heart Rate Estimation
by: Chen, Taixi, et al.
Published: (2025)
by: Chen, Taixi, et al.
Published: (2025)
When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text
by: Dawkins, Hillary, et al.
Published: (2025)
by: Dawkins, Hillary, et al.
Published: (2025)
ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability
by: Koike, Ryuto, et al.
Published: (2025)
by: Koike, Ryuto, et al.
Published: (2025)
RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns
by: Chen, Xin, et al.
Published: (2025)
by: Chen, Xin, et al.
Published: (2025)
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
by: Zhang, Shuhai, et al.
Published: (2024)
by: Zhang, Shuhai, et al.
Published: (2024)
O1 Embedder: Let Retrievers Think Before Action
by: Yan, Ruiran, et al.
Published: (2025)
by: Yan, Ruiran, et al.
Published: (2025)
ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval
by: Chen, Jianlyu, et al.
Published: (2025)
by: Chen, Jianlyu, et al.
Published: (2025)
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
by: Zhang, Qihui, et al.
Published: (2024)
by: Zhang, Qihui, et al.
Published: (2024)
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning
by: Wu, Chenyuan, et al.
Published: (2024)
by: Wu, Chenyuan, et al.
Published: (2024)
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation
by: Liu, Zheng, et al.
Published: (2024)
by: Liu, Zheng, et al.
Published: (2024)
Exploring the Limitations of Detecting Machine-Generated Text
by: Doughman, Jad, et al.
Published: (2024)
by: Doughman, Jad, et al.
Published: (2024)
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
by: Ji, Jiazhou, et al.
Published: (2024)
by: Ji, Jiazhou, et al.
Published: (2024)
Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
by: Zeng, Qingyuan, et al.
Published: (2024)
by: Zeng, Qingyuan, et al.
Published: (2024)
GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
by: Wang, Yuxia, et al.
Published: (2025)
by: Wang, Yuxia, et al.
Published: (2025)
EMMM, Explain Me My Model! Explainable Machine Generated Text Detection in Dialogues
by: Yuan, Angela Yifei, et al.
Published: (2025)
by: Yuan, Angela Yifei, et al.
Published: (2025)
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
by: Macko, Dominik, et al.
Published: (2024)
by: Macko, Dominik, et al.
Published: (2024)
Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition
by: Peng, Yufei, et al.
Published: (2025)
by: Peng, Yufei, et al.
Published: (2025)
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
by: Chen, Jin, et al.
Published: (2023)
by: Chen, Jin, et al.
Published: (2023)
Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection
by: Zhu, Xiaowei, et al.
Published: (2026)
by: Zhu, Xiaowei, et al.
Published: (2026)
LLM Cache Bandit Revisited: Addressing Query Heterogeneity for Cost-Effective LLM Inference
by: Yang, Hantao, et al.
Published: (2025)
by: Yang, Hantao, et al.
Published: (2025)
RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery
by: Gu, Hongchao, et al.
Published: (2025)
by: Gu, Hongchao, et al.
Published: (2025)
Who Wrote This? Identifying Machine vs Human-Generated Text in Hausa
by: Sani, Babangida, et al.
Published: (2025)
by: Sani, Babangida, et al.
Published: (2025)
Detection of Machine-Generated Text: Literature Survey
by: Valiaiev, Dmytro
Published: (2024)
by: Valiaiev, Dmytro
Published: (2024)
HiddenDetect: Detecting Jailbreak Attacks against Large Vision-Language Models via Monitoring Hidden States
by: Jiang, Yilei, et al.
Published: (2025)
by: Jiang, Yilei, et al.
Published: (2025)
Securing Recommender System via Cooperative Training
by: Wang, Qingyang, et al.
Published: (2024)
by: Wang, Qingyang, et al.
Published: (2024)
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
by: Wang, Weichuan, et al.
Published: (2024)
by: Wang, Weichuan, et al.
Published: (2024)
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
by: Zhou, Ying, et al.
Published: (2024)
by: Zhou, Ying, et al.
Published: (2024)
Similar Items
-
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
by: Wu, Chenwang, et al.
Published: (2025) -
Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection
by: Wu, Chenwang, et al.
Published: (2026) -
Multi-Level Contextual Token Relation Modeling for Machine-Generated Text Detection
by: Wu, Chenwang, et al.
Published: (2026) -
Learning to Substitute Components for Compositional Generalization
by: Li, Zhaoyi, et al.
Published: (2025) -
HumanLLM: Towards Personalized Understanding and Simulation of Human Nature
by: Lei, Yuxuan, et al.
Published: (2026)