Cover Image

AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nourbakhsh, Aria, Danilov, Adelaide, Schommer, Christoph, Lamsiyah, Salima
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Explainable AI Attribution Methods in Neural Machine Translation via Attention-Guided Knowledge Distillation
by: Nourbakhsh, Aria, et al.
Published: (2026)

NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)

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

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)

On the Effectiveness of LLM-Specific Fine-Tuning for Detecting AI-Generated Text
by: Gromadzki, Michał, et al.
Published: (2026)

Spotlights and Blindspots: Evaluating Machine-Generated Text Detection
by: Stowe, Kevin, et al.
Published: (2026)

A Lightweight Approach to Detection of AI-Generated Texts Using Stylometric Features
by: Aityan, Sergey K., et al.
Published: (2025)

Detecting Hallucinations in Graph Retrieval-Augmented Generation via Attention Patterns and Semantic Alignment
by: Li, Shanghao, et al.
Published: (2025)

Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification
by: Bucher, Martin Juan José, et al.
Published: (2024)

Identifying Bias in Machine-generated Text Detection
by: Stowe, Kevin, et al.
Published: (2025)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)

Paying Attention to Deflections: Mining Pragmatic Nuances for Whataboutism Detection in Online Discourse
by: Phi, Khiem, et al.
Published: (2024)

Dual Debiasing for Noisy In-Context Learning for Text Generation
by: Liang, Siqi, et al.
Published: (2025)

StyloAI: Distinguishing AI-Generated Content with Stylometric Analysis
by: Opara, Chidimma
Published: (2024)

Enigme: Generative Text Puzzles for Evaluating Reasoning in Language Models
by: Hawkins, John
Published: (2025)

Reasoning over Uncertain Text by Generative Large Language Models
by: Nafar, Aliakbar, et al.
Published: (2024)

Robustness of Large Language Models to Perturbations in Text
by: Singh, Ayush, et al.
Published: (2024)

Technical Report on the Pangram AI-Generated Text Classifier
by: Emi, Bradley, et al.
Published: (2024)

Hallucination or Creativity: How to Evaluate AI-Generated Scientific Stories?
by: Argese, Alex, et al.
Published: (2026)

Enhancing Hate Speech Detection on Social Media: A Comparative Analysis of Machine Learning Models and Text Transformation Approaches
by: Mishra, Saurabh, et al.
Published: (2026)

Blessing or curse? A survey on the Impact of Generative AI on Fake News
by: Loth, Alexander, et al.
Published: (2024)

Identifying Intensity of the Structure and Content in Tweets and the Discriminative Power of Attributes in Context with Referential Translation Machines
by: Biçici, Ergun
Published: (2024)

An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms
by: Chen, Ziyang, et al.
Published: (2024)

Understanding the Effects of RLHF on the Quality and Detectability of LLM-Generated Texts
by: Xu, Beining, et al.
Published: (2025)

HyperPersona: A Multi-Level Hypergraph Framework for Text-Based Automatic Personality Prediction
by: Heydari, Sina, et al.
Published: (2026)

On Preserving the Knowledge of Long Clinical Texts
by: Hasan, Mohammad Junayed, et al.
Published: (2023)

How Clued up are LLMs? Evaluating Multi-Step Deductive Reasoning in a Text-Based Game Environment
by: Ansell, Rebecca, et al.
Published: (2026)

mEdIT: Multilingual Text Editing via Instruction Tuning
by: Raheja, Vipul, et al.
Published: (2024)

Multi-Turn Interactions for Text-to-SQL with Large Language Models
by: Xiong, Guanming, et al.
Published: (2024)

Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey
by: Urlana, Ashok, et al.
Published: (2023)

Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods
by: Yu, Haeun, et al.
Published: (2024)

Beyond Prefixes: Graph-as-Memory Cross-Attention for Knowledge Graph Completion with Large Language Models
by: Liu, Ruitong, et al.
Published: (2025)

PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer
by: Sun, Huashan, et al.
Published: (2023)

APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification
by: Chernodub, Artem, et al.
Published: (2025)

Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarization
by: Tsirmpas, Dimitrios, et al.
Published: (2023)

GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation
by: Rastakhiz, Fardin
Published: (2025)

A Use-Case Specific Dataset for Measuring Dimensions of Responsible Performance in LLM-generated Text
by: Sagae, Alicia, et al.
Published: (2025)

Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs
by: Tytarenko, Stepan, et al.
Published: (2024)

Neural Machine Translation for Malayalam Paraphrase Generation
by: Varghese, Christeena, et al.
Published: (2024)