Cover Image

OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	La Cava, Lucio, Tagarelli, Andrea
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Computers and Society Human-Computer Interaction Physics and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
by: La Cava, Lucio, et al.
Published: (2024)

Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
by: La Cava, Lucio, et al.
Published: (2024)

Authorship Attribution in Multilingual Machine-Generated Texts
by: La Cava, Lucio, et al.
Published: (2025)

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
by: Greco, Candida M., et al.
Published: (2026)

Safeguarding Decentralized Social Media: LLM Agents for Automating Community Rule Compliance
by: La Cava, Lucio, et al.
Published: (2024)

Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling
by: La Cava, Lucio, et al.
Published: (2026)

Toward Preference-aligned Large Language Models via Residual-based Model Steering
by: La Cava, Lucio, et al.
Published: (2025)

Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition
by: Greco, Candida M., et al.
Published: (2024)

A Survey on Moral Foundation Theory and Pre-Trained Language Models: Current Advances and Challenges
by: Zangari, Lorenzo, et al.
Published: (2024)

Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
by: La Cava, Lucio, et al.
Published: (2025)

ChatBench: From Static Benchmarks to Human-AI Evaluation
by: Chang, Serina, et al.
Published: (2025)

Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap
by: Staniek, Michael, et al.
Published: (2023)

From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape
by: McIntosh, Timothy R., et al.
Published: (2023)

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
by: McIntosh, Timothy R., et al.
Published: (2024)

Civil Society in the Loop: Feedback-Driven Adaptation of (L)LM-Assisted Classification in an Open-Source Telegram Monitoring Tool
by: Pustet, Milena, et al.
Published: (2025)

The Imitation Game According To Turing
by: Temtsin, Sharon, et al.
Published: (2025)

InvisibleBench: A Deployment Gate for Caregiving Relationship AI
by: Madad, Ali
Published: (2025)

The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations
by: Wolfe, Robert, et al.
Published: (2024)

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
by: Cohen, Myke C., et al.
Published: (2026)

Beyond Models: A Framework for Contextual and Cultural Intelligence in African AI Deployment
by: Ndlovu, Qness
Published: (2025)

A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
by: Verma, Gaurav, et al.
Published: (2025)

Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
by: Jacobs, Sven, et al.
Published: (2024)

Empathy Is Not What Changed: Clinical Assessment of Psychological Safety Across GPT Model Generations
by: Keeman, Michael, et al.
Published: (2026)

GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
by: Ferrara, Emilio
Published: (2023)

Blissful (A)Ignorance: People form overly positive impressions of others based on their written messages, despite wide-scale adoption of Generative AI
by: Zhu, Jiaqi, et al.
Published: (2025)

An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
by: A, Vimaleswar, et al.
Published: (2025)

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data
by: Kursuncu, Ugur, et al.
Published: (2025)

Cognitive Bias Detection Using Advanced Prompt Engineering
by: Lemieux, Frederic, et al.
Published: (2025)

An Information-Theoretic Framework for Comparing Voice and Text Explainability
by: Rajhans, Mona, et al.
Published: (2026)

A Metasemantic-Metapragmatic Framework for Taxonomizing Multimodal Communicative Alignment
by: Ji, Eugene Yu
Published: (2025)

Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system
by: Gupta, Shailja, et al.
Published: (2024)

From Prompts to Constructs: A Dual-Validity Framework for LLM Research in Psychology
by: Lin, Zhicheng
Published: (2025)

Are You the A-hole? A Fair, Multi-Perspective Ethical Reasoning Framework
by: Munir, Sheza, et al.
Published: (2026)

Alignment Drift in Long-Term Human-LLM Interaction: A Mechanism-Oriented Framework
by: Yao, Xintong
Published: (2026)

Generative AI Perceptions: A Survey to Measure the Perceptions of Faculty, Staff, and Students on Generative AI Tools in Academia
by: Amani, Sara, et al.
Published: (2023)

Leading Across the Spectrum of Human-AI Relationships: A Conceptual Framework for Increasingly Heterogeneous Teams
by: Jadad, Alejandro R.
Published: (2026)

MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform
by: Jung, Hayoung, et al.
Published: (2025)

Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning
by: Scaria, Nicy, et al.
Published: (2026)

AI-Generated Slides: Are They Good? Can Students Tell?
by: Leinonen, Juho, et al.
Published: (2026)

Literary Narrative as Moral Probe : A Cross-System Framework for Evaluating AI Ethical Reasoning and Refusal Behavior
by: Flynn, David C.
Published: (2026)