Cover Image

AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Hongyi, Zhu, Jin, Su, Pingfan, Ye, Kai, Yang, Ying, Gavioli-Akilagun, Shakeel A O B, Shi, Chengchun
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Optimal Online Change Detection via Random Fourier Features
by: Kalinke, Florian, et al.
Published: (2025)

Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text
by: Zhou, Hongyi, et al.
Published: (2026)

Detecting Changes in Production Frontiers
by: Gavioli-Akilagun, Shakeel, et al.
Published: (2026)

Detecting Changes in Causal Dependence with Kernels and Copulas
by: Gavioli-Akilagun, Shakeel, et al.
Published: (2026)

Fast and Optimal Inference for Change Points in Piecewise Polynomials via Differencing
by: Gavioli-Akilagun, Shakeel, et al.
Published: (2023)

A Difference-in-Difference Approach to Detecting AI-Generated Images
by: Qi, Xinyi, et al.
Published: (2026)

Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning
by: Gong, Shijin, et al.
Published: (2026)

Demystifying Group Relative Policy Optimization: Its Policy Gradient is a U-Statistic
by: Zhou, Hongyi, et al.
Published: (2026)

Kernel Integrated $R^2$: A Measure of Dependence
by: Roudaki, Pouya, et al.
Published: (2026)

Segmenting Human-LLM Co-authored Text via Change Point Detection
by: Li, Mengchu, et al.
Published: (2026)

Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-Tuning
by: Ye, Kai, et al.
Published: (2025)

Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
by: Zhou, Hongyi, et al.
Published: (2025)

Doubly Robust Alignment for Large Language Models
by: Xu, Erhan, et al.
Published: (2025)

Statistical Inference in Reinforcement Learning: A Selective Survey
by: Shi, Chengchun
Published: (2025)

Off-policy Evaluation with Deeply-abstracted States
by: Hao, Meiling, et al.
Published: (2024)

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
by: Zhu, Jin, et al.
Published: (2025)

AdaSCALE: Adaptive Scaling for OOD Detection
by: Regmi, Sudarshan
Published: (2025)

AdaIAT: Adaptively Increasing Attention to Generated Text to Alleviate Hallucinations in LVLM
by: Zhong, Li'an, et al.
Published: (2026)

DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection
by: Wu, Junchao, et al.
Published: (2026)

Robust Detection of LLM-Generated Text: A Comparative Analysis
by: Su, Yongye, et al.
Published: (2024)

Reinforcement Learning from Human Feedback: A Statistical Perspective
by: Liu, Pangpang, et al.
Published: (2026)

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains
by: Chen, Zhihui, et al.
Published: (2025)

Testing Stationarity and Change Point Detection in Reinforcement Learning
by: Li, Mengbing, et al.
Published: (2022)

Is ChatGPT Involved in Texts? Measure the Polish Ratio to Detect ChatGPT-Generated Text
by: Yang, Lingyi, et al.
Published: (2023)

T-Detect: Tail-Aware Statistical Normalization for Robust Detection of Adversarial Machine-Generated Text
by: West, Alva, et al.
Published: (2025)

BASIS: Batchwise Advantage Estimation from Single-Rollout Information Sharing for LLM Reasoning
by: Gong, Shijin, et al.
Published: (2026)

Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
by: Lai, Zhixin, et al.
Published: (2024)

AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism
by: Wei, Zhepei, et al.
Published: (2025)

Learning Perturbations to Extrapolate Your LLM
by: Cen, Zetai, et al.
Published: (2026)

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

PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
by: Xie, Chulin, et al.
Published: (2023)

Perturbation is All You Need for Extrapolating Language Models
by: Cen, Zetai, et al.
Published: (2026)

Supervised Learning Guarantee for Quantum AdaBoost
by: Wang, Yabo, et al.
Published: (2024)

Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees
by: Shen, Cheng, et al.
Published: (2025)

RoS-Guard: Robust and Scalable Online Change Detection with Delay-Optimal Guarantees
by: Zhu, Zelin, et al.
Published: (2025)

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
by: Li, Haochen, et al.
Published: (2024)

GPTZero: Robust Detection of LLM-Generated Texts
by: Adam, George Alexandru, et al.
Published: (2026)

Learning to Rewrite: Generalized LLM-Generated Text Detection
by: Li, Ran, et al.
Published: (2024)

Can LLM-Generated Misinformation Be Detected?
by: Chen, Canyu, et al.
Published: (2023)