Multi-Level Contextual Token Relation Modeling for Machine-Generated Text Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Chenwang, Cheung, Yiuming, Han, Bo, Zhang, Shuhai, Lian, Defu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement
by: Wu, Chenwang, et al.
Published: (2026)
by: Wu, Chenwang, et al.
Published: (2026)
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)
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)
Learning to Substitute Components for Compositional Generalization
by: Li, Zhaoyi, et al.
Published: (2025)
by: Li, Zhaoyi, et al.
Published: (2025)
Understanding Privacy Risks of Embeddings Induced by Large Language Models
by: Zhu, Zhihao, et al.
Published: (2024)
by: Zhu, Zhihao, et al.
Published: (2024)
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)
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information
by: Hu, Zhengmian, et al.
Published: (2023)
by: Hu, Zhengmian, et al.
Published: (2023)
Towards Token-Level Text Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)
by: Cao, Yang, et al.
Published: (2026)
Efficient Machine Unlearning via Influence Approximation
by: Liu, Jiawei, et al.
Published: (2025)
by: Liu, Jiawei, et al.
Published: (2025)
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
by: Chen, Jianlv, et al.
Published: (2024)
by: Chen, Jianlv, et al.
Published: (2024)
General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level
by: Shi, Bingkang, et al.
Published: (2023)
by: Shi, Bingkang, et al.
Published: (2023)
Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
by: Ramos, Miguel Moura, et al.
Published: (2025)
by: Ramos, Miguel Moura, et al.
Published: (2025)
Contextualizing Generated Citation Texts
by: Mandal, Biswadip, et al.
Published: (2024)
by: Mandal, Biswadip, et al.
Published: (2024)
ToBlend: Token-Level Blending With an Ensemble of LLMs to Attack AI-Generated Text Detection
by: Huang, Fan, et al.
Published: (2024)
by: Huang, Fan, et al.
Published: (2024)
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)
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)
Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection Framework
by: Tao, Zhen, et al.
Published: (2024)
by: Tao, Zhen, 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)
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)
CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection
by: Wang, Yue, et al.
Published: (2025)
by: Wang, Yue, et al.
Published: (2025)
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)
Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness
by: Ma, Shixuan, et al.
Published: (2024)
by: Ma, Shixuan, et al.
Published: (2024)
T-Detect: Tail-Aware Statistical Normalization for Robust Detection of Adversarial Machine-Generated Text
by: West, Alva, et al.
Published: (2025)
by: West, Alva, et al.
Published: (2025)
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)
Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models
by: Chen, Kexin, et al.
Published: (2025)
by: Chen, Kexin, et al.
Published: (2025)
Exploring the Limitations of Detecting Machine-Generated Text
by: Doughman, Jad, et al.
Published: (2024)
by: Doughman, Jad, et al.
Published: (2024)
MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts
by: Macko, Dominik, et al.
Published: (2024)
by: Macko, Dominik, et al.
Published: (2024)
Applying Ensemble Methods to Model-Agnostic Machine-Generated Text Detection
by: Ong, Ivan, et al.
Published: (2024)
by: Ong, Ivan, et al.
Published: (2024)
Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
by: An, Ruize, et al.
Published: (2025)
by: An, Ruize, et al.
Published: (2025)
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
by: Wang, Yuxia, et al.
Published: (2023)
by: Wang, Yuxia, et al.
Published: (2023)
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)
Contextually Structured Token Dependency Encoding for Large Language Models
by: Blades, James, et al.
Published: (2025)
by: Blades, James, et al.
Published: (2025)
The Truth Lies Somewhere in the Middle (of the Generated Tokens)
by: Wang, Sophie L., et al.
Published: (2026)
by: Wang, Sophie L., et al.
Published: (2026)
Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection
by: Marchitan, Teodor-George, et al.
Published: (2024)
by: Marchitan, Teodor-George, et al.
Published: (2024)
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
by: Macko, Dominik, et al.
Published: (2024)
by: Macko, Dominik, et al.
Published: (2024)
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers
by: Gong, Linyuan, et al.
Published: (2023)
by: Gong, Linyuan, et al.
Published: (2023)
FAID: Fine-Grained AI-Generated Text Detection Using Multi-Task Auxiliary and Multi-Level Contrastive Learning
by: Ta, Minh Ngoc, et al.
Published: (2025)
by: Ta, Minh Ngoc, et al.
Published: (2025)
Similar Items
-
Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection
by: Wu, Chenwang, et al.
Published: (2026) -
Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement
by: Wu, Chenwang, et al.
Published: (2026) -
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
by: Wu, Chenwang, et al.
Published: (2025) -
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
by: Zhang, Shuhai, et al.
Published: (2024) -
Learning to Substitute Components for Compositional Generalization
by: Li, Zhaoyi, et al.
Published: (2025)