Prompting Large Language Models for Topic Modeling. - Han Wang 053; Nirmalendu Prakash; Nguyen-Khoi Hoang; Ming Shan Hee; Usman Naseem; Roy Ka-Wei Lee (IEEE Big Data, 2023)

Layered Bias: Interpreting Bias in Pretrained Large Language Models. - Nirmalendu Prakash; Roy Ka-Wei Lee (BlackboxNLP@EMNLP, 2023)

MATK: The Meme Analytical Tool Kit. - Ming Shan Hee; Aditi Kumaresan; Nguyen-Khoi Hoang; Nirmalendu Prakash; Rui Cao 002; Roy Ka-Wei Lee (ACM Multimedia, 2023)

PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models. - Nirmalendu Prakash; Han Wang 053; Nguyen-Khoi Hoang; Ming Shan Hee; Roy Ka-Wei Lee (ACM Multimedia, 2023)

TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore. - Nirmalendu Prakash; Ming Shan Hee; Roy Ka-Wei Lee (MMSys, 2023)

PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models. - Nirmalendu Prakash; Han Wang; Nguyen-Khoi Hoang; Ming Shan Hee; Roy Ka-Wei Lee (CoRR, 2023)

SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore. - Ri Chi Ng; Nirmalendu Prakash; Ming Shan Hee; Kenny Tsu Wei Choo; Roy Ka-Wei Lee (CoRR, 2024)

Interpreting Bias in Large Language Models: A Feature-Based Approach. - Nirmalendu Prakash; Roy Ka-Wei Lee (CoRR, 2024)

Activation Space Interventions Can Be Transferred Between Large Language Models. - Narmeen Oozeer; Dhruv Nathawani; Nirmalendu Prakash; Michael Lan; Abir Harrasse; Amirali Abdullah (CoRR, 2025)

Understanding Refusal in Language Models with Sparse Autoencoders. - Wei Jie Yeo; Nirmalendu Prakash; Clement Neo; Roy Ka-Wei Lee; Erik Cambria; Ranjan Satapathy (CoRR, 2025)