Imagen de Portada

Identifying Bias in Machine-generated Text Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Stowe, Kevin, Afanaseva, Svetlana, Raimundo, Rodolfo, Sun, Yitao, Patil, Kailash
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence I.2.7
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

Identifying Fairness Issues in Automatically Generated Testing Content
por: Stowe, Kevin, et al.
Publicado: (2024)

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

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

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

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

PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?
por: Petukhova, Kseniia, et al.
Publicado: (2024)

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

Large Language Model (LLM) Bias Index -- LLMBI
por: Oketunji, Abiodun Finbarrs, et al.
Publicado: (2023)

Persuasiveness and Bias in LLM: Investigating the Impact of Persuasiveness and Reinforcement of Bias in Language Models
por: Roy, Saumya
Publicado: (2025)

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

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

AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection
por: Nourbakhsh, Aria, et al.
Publicado: (2026)

Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models
por: Benkirane, Kenza, et al.
Publicado: (2024)

LLMs as Signal Detectors: Sensitivity, Bias, and the Temperature-Criterion Analogy
por: Cacioli, Jon-Paul
Publicado: (2026)

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

PustakAI: Curriculum-Aligned and Interactive Textbooks Using Large Language Models
por: Sharma, Shivam, et al.
Publicado: (2025)

The Generation Gap: Exploring Age Bias in the Value Systems of Large Language Models
por: Liu, Siyang, et al.
Publicado: (2024)

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

Textual Data Bias Detection and Mitigation -- An Extensible Pipeline with Experimental Evaluation
por: Görge, Rebekka, et al.
Publicado: (2025)

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

Domain-specific ChatBots for Science using Embeddings
por: Yager, Kevin G.
Publicado: (2023)

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

Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance
por: Cacioli, Jon-Paul
Publicado: (2026)

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

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

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

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

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

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

Predicting Word Similarity in Context with Referential Translation Machines
por: Biçici, Ergun
Publicado: (2024)

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

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

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

A Study on Bias Detection and Classification in Natural Language Processing
por: Evans, Ana Sofia, et al.
Publicado: (2024)

A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models
por: Balasubramanian, Sriram, et al.
Publicado: (2025)

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

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

Detecting and Steering LLMs' Empathy in Action
por: Cadile, Juan P.
Publicado: (2025)