Cover Image

SENTRA: Selected-Next-Token Transformer for LLM Text Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Plyler, Mitchell, Zhang, Yilun, Tuzhilin, Alexander, Khalifah, Saoud, Tian, Sen
Format:	Preprint
Published:	2025
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

Iterative Counterfactual Data Augmentation
by: Plyler, Mitchell, et al.
Published: (2025)

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

Reasoning Bias of Next Token Prediction Training
by: Lin, Pengxiao, et al.
Published: (2025)

Towards Token-Level Text Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)

Cautious Next Token Prediction
by: Wang, Yizhou, et al.
Published: (2025)

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

ENTP: Encoder-only Next Token Prediction
by: Ewer, Ethan, et al.
Published: (2024)

HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models
by: Sen, Tanmay, et al.
Published: (2024)

Auto-Regressive Next-Token Predictors are Universal Learners
by: Malach, Eran
Published: (2023)

Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach
by: Bouri, Mohammed, et al.
Published: (2025)

Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
by: Zeng, Cong, et al.
Published: (2025)

Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors
by: Rofin, Mark, et al.
Published: (2026)

Implicit Optimization Bias of Next-Token Prediction in Linear Models
by: Thrampoulidis, Christos
Published: (2024)

MambaByte: Token-free Selective State Space Model
by: Wang, Junxiong, et al.
Published: (2024)

Bangla Grammatical Error Detection Leveraging Transformer-based Token Classification
by: Islam, Shayekh Bin, et al.
Published: (2024)

LKV: End-to-End Learning of Head-wise Budgets and Token Selection for LLM KV Cache Eviction
by: Zhou, Enshuai, et al.
Published: (2026)

OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
by: Shin, Seungjun, et al.
Published: (2025)

Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension
by: Qi, Mengnan, et al.
Published: (2024)

TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only
by: Liu, Yilun, et al.
Published: (2026)

Improving Next Tokens via Second-to-Last Predictions with Generate and Refine
by: Schneider, Johannes
Published: (2024)

Efficient Training of Language Models with Compact and Consistent Next Token Distributions
by: Sathe, Ashutosh, et al.
Published: (2024)

Context-Enhanced Contrastive Search for Improved LLM Text Generation
by: Sen, Jaydip, et al.
Published: (2025)

Rep2Text: Decoding Full Text from a Single LLM Token Representation
by: Zhao, Haiyan, 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)

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

Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection
by: Jo, Dongwon, et al.
Published: (2026)

Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference
by: Taniguchi, Rei, et al.
Published: (2026)

Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization
by: Gong, Zixuan, et al.
Published: (2025)

On Next-Token Prediction in LLMs: How End Goals Determine the Consistency of Decoding Algorithms
by: Trauger, Jacob, et al.
Published: (2025)

Assessing LLM Text Detection in Educational Contexts: Does Human Contribution Affect Detection?
by: Gehring, Lukas, et al.
Published: (2025)

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
by: Liu, Tianci, et al.
Published: (2025)

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

Unlocking Full Efficiency of Token Filtering in Large Language Model Training
by: Chai, Di, et al.
Published: (2025)

TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text
by: Arbel, Iftach, et al.
Published: (2024)

Enhancing Latent Computation in Transformers with Latent Tokens
by: Sun, Yuchang, et al.
Published: (2025)

TIDE: Token-Informed Depth Execution for Per-Token Early Exit in LLM Inference
by: Jaber, Jaber, et al.
Published: (2026)

One Token to Fool LLM-as-a-Judge
by: Zhao, Yulai, et al.
Published: (2025)

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
by: Su, DiJia, et al.
Published: (2025)

Towards Next-Generation LLM Training: From the Data-Centric Perspective
by: Liang, Hao, et al.
Published: (2026)

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