Cover Image

Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Chengshuai, Agrawal, Garima, Zhang, Fan, Kumarage, Tharindu, Tan, Zhen, Deng, Yuli, Chen, Ying-Chih, Liu, Huan
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation
by: Zhao, Chengshuai, et al.
Published: (2025)

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

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

EssayCBM: Rubric-Aligned Concept Bottleneck Models for Transparent Essay Grading
by: Chaudhary, Kumar Satvik, et al.
Published: (2025)

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

REC-CBM: Rubric-Aware Error-Correction Concept Bottleneck Models for Trustworthy Open-Ended Grading
by: Zhao, Chengshuai, et al.
Published: (2026)

Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?
by: Beigi, Alimohammad, et al.
Published: (2024)

A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization
by: Kumarage, Tharindu, et al.
Published: (2024)

The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative
by: Tan, Zhen, et al.
Published: (2024)

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

Intrinsic Barriers to Explaining Deep Foundation Models
by: Tan, Zhen, et al.
Published: (2025)

Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
by: Siriwardhana, Shamane, et al.
Published: (2022)

Answering Students' Questions on Course Forums Using Multiple Chain-of-Thought Reasoning and Finetuning RAG-Enabled LLM
by: Wang, Neo, et al.
Published: (2025)

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

SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India
by: Singh, Salam Michael, et al.
Published: (2024)

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

Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models
by: Jiang, Bohan, et al.
Published: (2024)

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering
by: Zhong, Kezhen, et al.
Published: (2025)

Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
by: Jiang, Bohan, et al.
Published: (2024)

Assessing the Maturity of Cybersecurity Education in Virginia and the Impact of State Level Investment
by: Mero, Patrick, et al.
Published: (2025)

The Impact of Virtual Laboratories on Active Learning and Engagement in Cybersecurity Distance Education
by: Kebande, Victor R.
Published: (2024)

Social Bias in Popular Question-Answering Benchmarks
by: Kraft, Angelie, et al.
Published: (2025)

Unlocking Excellence: The Impact of Voucher Incentives on Cybersecurity Education
by: Li, Jianhua, et al.
Published: (2025)

Integrating Graph Theoretical Approaches in Cybersecurity Education CSCI-RTED
by: Kucukkaya, Goksel, et al.
Published: (2025)

Gamifying Cyber Governance: A Virtual Escape Room to Transform Cybersecurity Policy Education
by: Hasan, Khondokar Fida, et al.
Published: (2026)

Embracing the Generative AI Revolution: Advancing Tertiary Education in Cybersecurity with GPT
by: Nowrozy, Raza, et al.
Published: (2024)

Mitigating Bias for Question Answering Models by Tracking Bias Influence
by: Ma, Mingyu Derek, et al.
Published: (2023)

CAIRNS: Balancing Readability and Scientific Accuracy in Climate Adaptation Question Answering
by: Kong, Liangji, et al.
Published: (2025)

Are Today's LLMs Ready to Explain Well-Being Concepts?
by: Jiang, Bohan, et al.
Published: (2025)

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model
by: Zhao, Chengshuai, et al.
Published: (2026)

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

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

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

Credible Plan-Driven RAG Method for Multi-Hop Question Answering
by: Zhang, Ningning, et al.
Published: (2025)

GG-BBQ: German Gender Bias Benchmark for Question Answering
by: Satheesh, Shalaka, et al.
Published: (2025)

Ontology-driven Reinforcement Learning for Personalized Student Support
by: Hare, Ryan, et al.
Published: (2024)

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

MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
by: Agarwal, Siddhant, et al.
Published: (2024)

None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering
by: Tam, Zhi Rui, et al.
Published: (2025)

Non-Invasive Anemia Detection: A Multichannel PPG-Based Hemoglobin Estimation with Explainable Artificial Intelligence
by: Sahu, Garima, et al.
Published: (2026)