Nirmalendu Prakash

According to our database, Nirmalendu Prakash authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Geometry-Aware CLIP Retrieval via Local Cross-Modal Alignment and Steering.

Nirmalendu Prakash, Narmeen Oozeer, Xin Su, Phillip Howard, Shaan Shah, Zoe Wanying He, Shuang Wu, Shivam Raval, Roy Ka-Wei Lee, Meenakshi Khosla, Amir Abdullah

CoRR, April, 2026

DreamReader: An Interpretability Toolkit for Text-to-Image Models.

Nirmalendu Prakash, Narmeen Oozeer, Michael Lan, Luka Samkharadze, Phillip Howard, Roy Ka-Wei Lee, Dhruv Nathawani, Shivam Raval, Amirali Abdullah

CoRR, March, 2026

Beyond I'm Sorry, I Can't: Dissecting Large-Language-Model Refusal.

Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Distribution-Aware Feature Selection for SAEs.

Narmeen Oozeer, Nirmalendu Prakash, Michael Lan, Alice Rigg, Amirali Abdullah

CoRR, August, 2025

Activation Space Interventions Can Be Transferred Between Large Language Models.

Narmeen Oozeer, Dhruv Nathawani, Nirmalendu Prakash, Michael Lan, Abir Harrasse, Amir Abdullah

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Understanding Refusal in Language Models with Sparse Autoencoders.

Wei Jie Yeo, Nirmalendu Prakash, Clement Neo, Ranjan Satapathy, Roy Ka-Wei Lee, Erik Cambria

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Interpreting Bias in Large Language Models: A Feature-Based Approach.

Nirmalendu Prakash, Roy Ka-Wei Lee

CoRR, 2024

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

2023

TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore.

Nirmalendu Prakash, Ming Shan Hee, Roy Ka-Wei Lee

Proceedings of the 14th Conference on ACM Multimedia Systems, 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

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MATK: The Meme Analytical Tool Kit.

Ming Shan Hee, Aditi Kumaresan, Nguyen-Khoi Hoang, Nirmalendu Prakash, Rui Cao, Roy Ka-Wei Lee

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Layered Bias: Interpreting Bias in Pretrained Large Language Models.

Nirmalendu Prakash, Roy Ka-Wei Lee

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Prompting Large Language Models for Topic Modeling.

Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee

Proceedings of the IEEE International Conference on Big Data, 2023