Obserwuj
Tharindu Kumarage
Tharindu Kumarage
Graduate Research Assistant, Arizona State University
Zweryfikowany adres z asu.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
Can knowledge graphs reduce hallucinations in LLMs?: A survey
G Agrawal, T Kumarage, Z Alghami, H Liu
NAACL, 2024, 2024
103*2024
Stylometric detection of ai-generated text in twitter timelines
T Kumarage, J Garland, A Bhattacharjee, K Trapeznikov, S Ruston, H Liu
Technical Report - Hackathon on Machine-Generated Text in Social Media, 2023
58*2023
Conda: Contrastive domain adaptation for ai-generated text detection
A Bhattacharjee, T Kumarage, R Moraffah, H Liu
IJCNLP-AACL, 2023 (🏆Outstanding Paper Award), 2023
382023
How reliable are ai-generated-text detectors? an assessment framework using evasive soft prompts
T Kumarage, P Sheth, R Moraffah, J Garland, H Liu
EMNLP Findings, 2023, 2023
202023
Harnessing artificial intelligence to combat online hate: Exploring the challenges and opportunities of large language models in hate speech detection
T Kumarage, A Bhattacharjee, J Garland
Methods, Techniques, and AI Solutions in the Age of Hostilities - Online …, 2024
152024
J-guard: Journalism guided adversarially robust detection of ai-generated news
T Kumarage, A Bhattacharjee, D Padejski, K Roschke, D Gillmor, ...
IJCNLP-AACL, 2023, 2023
152023
Generative adversarial networks (GAN) based anomaly detection in industrial software systems
T Kumarage, S Ranathunga, C Kuruppu, N De Silva, M Ranawaka
MERCon, 2019 (🏆Best Student Paper Award), 2019
15*2019
Neural Authorship Attribution: Stylometric Analysis on Large Language Models
T Kumarage, H Liu
CyberC, 2023, 2023
122023
Peace: Cross-platform hate speech detection-a causality-guided framework
P Sheth*, T Kumarage*, R Moraffah, A Chadha, H Liu
ECML-PKDD, 2023, 2023
102023
Defending Against Social Engineering Attacks in the Age of LLMs
L Ai*, T Kumarage*, A Bhattacharjee, Z Liu, Z Hui, M Davinroy, J Cook, ...
EMNLP, 2024, 2024
92024
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection
P Sheth, R Moraffah, TS Kumarage, A Chadha, H Liu
WSDM, 2024, 2024
92024
A survey of ai-generated text forensic systems: Detection, attribution, and characterization
T Kumarage, G Agrawal, P Sheth, R Moraffah, A Chadha, J Garland, H Liu
arXiv preprint arXiv:2403.01152, 2024
92024
Studying the influence of toxicity and emotion features for stress detection on social media
Z Alghamdi, T Kumarage, M Karami, F Alatawi, A Mosallanezhad, H Liu
European Conference on Social Media, 2023, 2023
52023
Lrq-fact: Llm-generated relevant questions for multimodal fact-checking
A Beigi, B Jiang, D Li, T Kumarage, Z Tan, P Shaeri, H Liu
arXiv preprint arXiv:2410.04616, 2024
42024
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
G Agrawal, T Kumarage, Z Alghamdi, H Liu
IEEE FLLM, 2024, 2024
42024
Towards detecting harmful agendas in news articles
M Subbiah, A Bhattacharjee, Y Hua, T Kumarage, H Liu, K McKeown
WASSA@ACL, 2023, 2023
42023
Anomaly Detection in Industrial Software Systems-Using Variational Autoencoders.
T Kumarage, N De Silva, M Ranawaka, C Kuruppu, S Ranathunga
ICPRAM, 2018, 2018
42018
Less is More: Stress Detection through Condensed Social Media Contents
Z Alghamdi, T Kumarage, G Agrawal, H Liu, HR Bernard
European Conference on Social Media, 2024, 2024
32024
Code RED: Reactive Emotion Difference for Stress Detection on Social Media.
Z Alghamdi, F Alatawi, M Karami, T Kumarage, A Mosallanezhad, H Liu
SBP-BRiMS, 2023, 2023
12023
Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education
C Zhao, G Agrawal, T Kumarage, Z Tan, Y Deng, YC Chen, H Liu
arXiv preprint arXiv:2412.14191, 2024
2024
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20