Copertina

Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Najjar, Ayat, Ashqar, Huthaifa I., Darwish, Omar, Hammad, Eman
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Leveraging Large Language Models (LLMs) for Traffic Management at Urban Intersections: The Case of Mixed Traffic Scenarios
di: Masri, Sari, et al.
Pubblicazione: (2024)

Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing
di: Yilmaz, Berk, et al.
Pubblicazione: (2025)

Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques
di: Tami, Mohammad, et al.
Pubblicazione: (2024)

Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm
di: Masri, Sari, et al.
Pubblicazione: (2024)

Enhancing Mathematics Learning for Hard-of-Hearing Students Through Real-Time Palestinian Sign Language Recognition: A New Dataset
di: Khandaqji, Fidaa, et al.
Pubblicazione: (2025)

Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language
di: Sammoudi, Mohammad, et al.
Pubblicazione: (2024)

The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications
di: Ashqar, Huthaifa I., et al.
Pubblicazione: (2024)

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

Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics
di: Jaradat, Shadi, et al.
Pubblicazione: (2024)

LM$^2$otifs : An Explainable Framework for Machine-Generated Texts Detection
di: Zheng, Xu, et al.
Pubblicazione: (2025)

ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
di: Dammu, Preetam Prabhu Srikar, et al.
Pubblicazione: (2024)

LLM-Generated or Human-Written? Comparing Review and Non-Review Papers on ArXiv
di: Elazar, Yanai, et al.
Pubblicazione: (2026)

Designing Explainable AI for Healthcare Reviews: Guidance on Adoption and Trust
di: Alamoudi, Eman, et al.
Pubblicazione: (2026)

Leveraging Prompts in LLMs to Overcome Imbalances in Complex Educational Text Data
di: McClure, Jeanne, et al.
Pubblicazione: (2024)

Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events
di: Tami, Mohammad Abu, et al.
Pubblicazione: (2024)

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

Visual Reasoning at Urban Intersections: FineTuning GPT-4o for Traffic Conflict Detection
di: Masri, Sari, et al.
Pubblicazione: (2025)

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

Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods
di: Fraser, Kathleen C., et al.
Pubblicazione: (2024)

Differentiating Between Human-Written and AI-Generated Texts Using Automatically Extracted Linguistic Features
di: Georgiou, Georgios P.
Pubblicazione: (2024)

Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts
di: Riley, Celeste, et al.
Pubblicazione: (2025)

Surface Reading LLMs: Synthetic Text and its Styles
di: Bajohr, Hannes
Pubblicazione: (2025)

Multimodal Large Language Models for Enhanced Traffic Safety: A Comprehensive Review and Future Trends
di: Tami, Mohammad Abu, et al.
Pubblicazione: (2025)

HazardNet: A Small-Scale Vision Language Model for Real-Time Traffic Safety Detection at Edge Devices
di: Tami, Mohammad Abu, et al.
Pubblicazione: (2025)

The Effect of Funding on Student Achievement: Evidence from District of Columbia, Virginia, and Maryland
di: Raabe, Adam, et al.
Pubblicazione: (2024)

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
di: Zhang, Qihui, et al.
Pubblicazione: (2024)

OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
di: La Cava, Lucio, et al.
Pubblicazione: (2025)

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning
di: Shi, Yuhui, et al.
Pubblicazione: (2025)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
di: Liu, Xiaoze, et al.
Pubblicazione: (2024)

Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor
di: Baluja, Ashwin
Pubblicazione: (2024)

When to Commute During the COVID-19 Pandemic and Beyond: Analysis of Traffic Crashes in Washington, D.C
di: Choi, Joanne, et al.
Pubblicazione: (2024)

Decoupling Content and Expression: Two-Dimensional Detection of AI-Generated Text
di: Bao, Guangsheng, et al.
Pubblicazione: (2025)

AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions
di: Bora, Adriana Eufrosina, et al.
Pubblicazione: (2025)

Flood Risk Assessment of the National Harbor at Maryland, United States
di: Negussie, Neftalem, et al.
Pubblicazione: (2024)

Influential Factors in Increasing an Amazon products Sales Rank
di: Chen, Ben, et al.
Pubblicazione: (2024)

Noosemia: toward a Cognitive and Phenomenological Account of Intentionality Attribution in Human-Generative AI Interaction
di: De Santis, Enrico, et al.
Pubblicazione: (2025)

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
di: Fernandez, Nigel, et al.
Pubblicazione: (2024)

Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions
di: Atif, Farah, et al.
Pubblicazione: (2025)

Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis
di: Opara, Chidimma
Pubblicazione: (2025)