Cover Image

Detecting the Machine: A Comprehensive Benchmark of AI-Generated Text Detectors Across Architectures, Domains, and Adversarial Conditions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Baidya, Madhav S., Baidya, S. S., Chawla, Chirag
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervised Finetuning
by: Baidya, Madhav S
Published: (2026)

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning
by: Onyame, Eric, et al.
Published: (2026)

Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
by: Huang, Guanhua, et al.
Published: (2024)

PADBen: A Comprehensive Benchmark for Evaluating AI Text Detectors Against Paraphrase Attacks
by: Zha, Yiwei, et al.
Published: (2025)

The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
by: Baidya, Avinash, et al.
Published: (2025)

Feature-Augmented Transformers for Robust AI-Text Detection Across Domains and Generators
by: Mady, Mohamed, et al.
Published: (2026)

DetectAnyLLM: Towards Generalizable and Robust Detection of Machine-Generated Text Across Domains and Models
by: Fu, Jiachen, et al.
Published: (2025)

IMGTB: A Framework for Machine-Generated Text Detection Benchmarking
by: Spiegel, Michal, et al.
Published: (2023)

Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
by: Ghosal, Soumya Suvra, et al.
Published: (2025)

When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection
by: Gao, Lang, et al.
Published: (2025)

On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
by: Liu, Yule, et al.
Published: (2024)

MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts
by: Macko, Dominik, et al.
Published: (2024)

C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts
by: Qing, Chenxi, et al.
Published: (2026)

Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors
by: Pedrotti, Andrea, et al.
Published: (2025)

Automated Benchmark Generation from Domain Guidelines Informed by Bloom's Taxonomy
by: Chen, Si, et al.
Published: (2026)

Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors
by: Macko, Dominik, et al.
Published: (2025)

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
by: Macko, Dominik, et al.
Published: (2023)

M-DAIGT: A Shared Task on Multi-Domain Detection of AI-Generated Text
by: Lamsiyah, Salima, et al.
Published: (2025)

A Practical Examination of AI-Generated Text Detectors for Large Language Models
by: Tufts, Brian, et al.
Published: (2024)

MELD: Multi-Task Equilibrated Learning Detector for AI-Generated Text
by: Li, Chenjun, et al.
Published: (2026)

SilverSpeak: Evading AI-Generated Text Detectors using Homoglyphs
by: Creo, Aldan, et al.
Published: (2024)

Detecting AI-Generated Texts in Cross-Domains
by: Zhou, You, et al.
Published: (2024)

Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels
by: Yan, Jianhao, et al.
Published: (2024)

A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques
by: Gao, Lifu, et al.
Published: (2025)

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

CEAID: Benchmark of Multilingual Machine-Generated Text Detection Methods for Central European Languages
by: Macko, Dominik, et al.
Published: (2025)

AI Text Detectors and the Misclassification of Slightly Polished Arabic Text
by: Almohaimeed, Saleh, et al.
Published: (2025)

Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
by: Ji, Jiazhou, et al.
Published: (2024)

AI Generated Text Detection
by: Alikhanov, Adilkhan, et al.
Published: (2026)

IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
by: Chen, Zheng, et al.
Published: (2025)

Modeling the Attack: Detecting AI-Generated Text by Quantifying Adversarial Perturbations
by: Teja, Lekkala Sai, et al.
Published: (2025)

EAGLE: A Domain Generalization Framework for AI-generated Text Detection
by: Bhattacharjee, Amrita, et al.
Published: (2024)

Domain Gating Ensemble Networks for AI-Generated Text Detection
by: Tripathi, Arihant, et al.
Published: (2025)

Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy
by: Pudasaini, Shushanta, et al.
Published: (2026)

Enhancing Robustness of LLM-Synthetic Text Detectors for Academic Writing: A Comprehensive Analysis
by: Dou, Zhicheng, et al.
Published: (2024)

Vietnamese AI Generated Text Detection
by: Tran, Quang-Dan, et al.
Published: (2024)

MRCEval: A Comprehensive, Challenging and Accessible Machine Reading Comprehension Benchmark
by: Ma, Shengkun, et al.
Published: (2025)

Assessing Classical Machine Learning and Transformer-based Approaches for Detecting AI-Generated Research Text
by: Parimanoharan, Sharanya, et al.
Published: (2025)

Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek Generated Text
by: Alshammari, Hulayyil, et al.
Published: (2025)

Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity
by: Najjar, Ayat A., et al.
Published: (2025)