Cover Image

Towards Token-Level Text Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Yang, Yu, Bicheng, Yang, Sikun, Liu, Ming, Yang, Yujiu
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Text Anomaly Detection with Simplified Isolation Kernel
by: Cao, Yang, et al.
Published: (2025)

Stochastic Voronoi Ensembles for Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)

Isolation-based Spherical Ensemble Representations for Anomaly Detection
by: Cao, Yang, et al.
Published: (2025)

LoCa: Logit Calibration for Knowledge Distillation
by: Yang, Runming, et al.
Published: (2024)

Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability
by: Lin, Zicheng, et al.
Published: (2024)

TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection
by: Cao, Yang, et al.
Published: (2025)

Kernel Representation and Similarity Measure for Incomplete Data
by: Cao, Yang, et al.
Published: (2025)

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning
by: Yang, Xuewei, et al.
Published: (2026)

Bridging the Dimensional Chasm: Uncover Layer-wise Dimensional Reduction in Transformers through Token Correlation
by: Song, Zhuo-Yang, et al.
Published: (2025)

NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)

SENTRA: Selected-Next-Token Transformer for LLM Text Detection
by: Plyler, Mitchell, et al.
Published: (2025)

Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning
by: Liu, Hanbing, et al.
Published: (2025)

Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection
by: Thorat, Shantanu, et al.
Published: (2024)

Beyond a Single Perspective: Text Anomaly Detection with Multi-View Language Representations
by: Liu, Yixin, et al.
Published: (2026)

Selective Preference Optimization via Token-Level Reward Function Estimation
by: Yang, Kailai, et al.
Published: (2024)

Rep2Text: Decoding Full Text from a Single LLM Token Representation
by: Zhao, Haiyan, et al.
Published: (2025)

A Robust Autoencoder Ensemble-Based Approach for Anomaly Detection in Text
by: Pantin, Jeremie, et al.
Published: (2024)

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast
by: Shi, Chufan, et al.
Published: (2024)

Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models
by: Deng, Difan, et al.
Published: (2026)

Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information
by: Hu, Zhengmian, et al.
Published: (2023)

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models
by: Zheng, Kangjie, et al.
Published: (2025)

TokenShapley: Token Level Context Attribution with Shapley Value
by: Xiao, Yingtai, et al.
Published: (2025)

Memory-Efficient Fine-Tuning of Transformers via Token Selection
by: Simoulin, Antoine, et al.
Published: (2025)

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
by: Xiao, Feng, et al.
Published: (2025)

Detecting Token-Level Hallucinations Using Variance Signals: A Reference-Free Approach
by: Kumar, Keshav
Published: (2025)

Detecting LLM-Generated Text with Performance Guarantees
by: Zhou, Hongyi, et al.
Published: (2026)

Scalable Token-Level Hallucination Detection in Large Language Models
by: Min, Rui, et al.
Published: (2026)

Progressive Knowledge Graph Completion
by: Li, Jiayi, et al.
Published: (2024)

CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
by: Lin, Zicheng, et al.
Published: (2024)

Weight-Inherited Distillation for Task-Agnostic BERT Compression
by: Wu, Taiqiang, et al.
Published: (2023)

X-Token: Projection-Guided Cross-Tokenizer Knowledge Distillation
by: Sreenivas, Sharath Turuvekere, et al.
Published: (2026)

Lossless Compression of Large Language Model-Generated Text via Next-Token Prediction
by: Mao, Yu, et al.
Published: (2025)

Toward a Theory of Tokenization in LLMs
by: Rajaraman, Nived, et al.
Published: (2024)

Rethinking Token Prediction: Tree-Structured Diffusion Language Model
by: Wu, Zihao, et al.
Published: (2026)

Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
by: He, Jianfeng, et al.
Published: (2024)

Revealing Behavioral Plasticity in Large Language Models: A Token-Conditional Perspective
by: Mao, Liyuan, et al.
Published: (2026)

Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers
by: Yang, Wang, et al.
Published: (2026)

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
by: Zhang, Shuhai, et al.
Published: (2024)

LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
by: Yang, Runming, et al.
Published: (2024)

Cmprsr: Abstractive Token-Level Question-Agnostic Prompt Compressor
by: Zakazov, Ivan, et al.
Published: (2025)