Copertina

A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kumarage, Tharindu, Agrawal, Garima, Sheth, Paras, Moraffah, Raha, Chadha, Aman, Garland, Joshua, Liu, Huan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement
di: Sheth, Paras, et al.
Pubblicazione: (2024)

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

Towards LLM-guided Causal Explainability for Black-box Text Classifiers
di: Bhattacharjee, Amrita, et al.
Pubblicazione: (2023)

Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
di: Kumarage, Tharindu, et al.
Pubblicazione: (2024)

Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation
di: Bhattacharjee, Amrita, et al.
Pubblicazione: (2024)

Can Large Language Models Infer Causal Relationships from Real-World Text?
di: Saklad, Ryan, et al.
Pubblicazione: (2025)

Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
di: Agrawal, Garima, et al.
Pubblicazione: (2023)

RedditESS: A Mental Health Social Support Interaction Dataset -- Understanding Effective Social Support to Refine AI-Driven Support Tools
di: Alghamdi, Zeyad, et al.
Pubblicazione: (2025)

Causal Feature Selection for Responsible Machine Learning
di: Moraffah, Raha, et al.
Pubblicazione: (2024)

Exploiting Class Probabilities for Black-box Sentence-level Attacks
di: Moraffah, Raha, et al.
Pubblicazione: (2024)

Adversarial Text Purification: A Large Language Model Approach for Defense
di: Moraffah, Raha, et al.
Pubblicazione: (2024)

Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
di: Agrawal, Garima, et al.
Pubblicazione: (2024)

A Generative Approach to Surrogate-based Black-box Attacks
di: Moraffah, Raha, et al.
Pubblicazione: (2024)

Domain Knowledge-Enhanced LLMs for Fraud and Concept Drift Detection
di: Şenol, Ali, et al.
Pubblicazione: (2025)

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
di: Nirmal, Ayushi, et al.
Pubblicazione: (2024)

Joint Detection of Fraud and Concept Drift inOnline Conversations with LLM-Assisted Judgment
di: Senol, Ali, et al.
Pubblicazione: (2025)

Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework
di: Şenol, Ali, et al.
Pubblicazione: (2026)

DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers
di: Wan, Shu, et al.
Pubblicazione: (2026)

Personalized Attacks of Social Engineering in Multi-turn Conversations: LLM Agents for Simulation and Detection
di: Kumarage, Tharindu, et al.
Pubblicazione: (2025)

Causality Guided Representation Learning for Cross-Style Hate Speech Detection
di: Zhao, Chengshuai, et al.
Pubblicazione: (2025)

Why Do Large Language Models Generate Harmful Content?
di: Ganguli, Rajesh, et al.
Pubblicazione: (2026)

Simulating Meaning, Nevermore! Introducing ICR: A Semiotic-Hermeneutic Metric for Evaluating Meaning in LLM Text Summaries
di: Perez, Natalie, et al.
Pubblicazione: (2026)

Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education
di: Zhao, Chengshuai, et al.
Pubblicazione: (2024)

FACTOID: FACtual enTailment fOr hallucInation Detection
di: Rawte, Vipula, et al.
Pubblicazione: (2024)

Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
di: Chowdhury, Arijit Ghosh, et al.
Pubblicazione: (2023)

A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
di: Khoshnoodi, Mahsa, et al.
Pubblicazione: (2024)

Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation
di: Kumarage, Tharindu, et al.
Pubblicazione: (2025)

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
di: Wijesiriwardene, Thilini, et al.
Pubblicazione: (2023)

Beyond-RAG: Question Identification and Answer Generation in Real-Time Conversations
di: Agrawal, Garima, et al.
Pubblicazione: (2024)

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
di: Wijesiriwardene, Thilini, et al.
Pubblicazione: (2024)

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
di: Haider, Batool, et al.
Pubblicazione: (2025)

Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
di: Sinha, Neelabh, et al.
Pubblicazione: (2024)

Decoding the Diversity: A Review of the Indic AI Research Landscape
di: KJ, Sankalp, et al.
Pubblicazione: (2024)

Reversing the Paradigm: Building AI-First Systems with Human Guidance
di: Spera, Cosimo, et al.
Pubblicazione: (2025)

CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation
di: Zhao, Chengshuai, 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)

"Sorry, Come Again?" Prompting -- Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing
di: Rawte, Vipula, et al.
Pubblicazione: (2024)

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
di: Ghosh, Akash, et al.
Pubblicazione: (2024)

Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context
di: Das, Nilanjana, et al.
Pubblicazione: (2024)

AI-generated Text Detection with a GLTR-based Approach
di: Wu, Lucía Yan, et al.
Pubblicazione: (2025)