Tharindu Kumarage
Tharindu Kumarage
Graduate Research Assistant, Arizona State University
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Zitiert von
Zitiert von
Can knowledge graphs reduce hallucinations in LLMs?: A survey
G Agrawal, T Kumarage, Z Alghami, H Liu
NAACL 2024 Main Track, 2023
Stylometric detection of ai-generated text in twitter timelines
T Kumarage, J Garland, A Bhattacharjee, K Trapeznikov, S Ruston, H Liu
arXiv preprint arXiv:2303.03697, 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
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
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 2023 Findings, 2023
Peace: Cross-platform hate speech detection-a causality-guided framework
P Sheth*, T Kumarage*, R Moraffah, A Chadha, H Liu
ECML-PKDD 2023, 2023
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection
P Sheth, R Moraffah, TS Kumarage, A Chadha, H Liu
WSDM 2024, 2024
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
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
arXiv preprint arXiv:2403.08035, 2024
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
ECSM 2023 10th European Conference on Social Media, 2023
Towards detecting harmful agendas in news articles
M Subbiah, A Bhattacharjee, Y Hua, T Kumarage, H Liu, K McKeown
WASSA@ACL 2023, 2023
Anomaly Detection in Industrial Software Systems-Using Variational Autoencoders.
T Kumarage, N De Silva, M Ranawaka, C Kuruppu, S Ranathunga
ICPRAM, 440-447, 2018
Neural Authorship Attribution: Stylometric Analysis on Large Language Models
T Kumarage, H Liu
CyberC 2023, 2023
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
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
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 11 (1), 13-22, 2024
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement
P Sheth, T Kumarage, R Moraffah, A Chadha, H Liu
arXiv preprint arXiv:2404.11036, 2024
Data Generation for Neural Disinformation Detection
T Kumarage, A Bhattacharjee, K Shu, H Liu
Working Paper Track, SBP-BRiMS 2021, 2021
Customer profiling to improve service and management of mobility on demand (MOD) Systems
KTS Kumarage
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