Narmeen Oozeer

According to our database, Narmeen Oozeer authored at least 15 papers between 2024 and 2026.

Collaborative distances:

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

2026

Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering.

Narmeen Oozeer, Shivam Raval, Philip Quirke, Manikandan Ravikiran, Jeff M. Phillips, Shriyash Upadhyay, Amirali Abdullah

CoRR, May, 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

Understanding and Mitigating Dataset Corruption in LLM Steering.

Cullen Anderson, Narmeen Oozeer, Foad Namjoo, Remy Ogasawara, Amirali Abdullah, Jeff M. Phillips

CoRR, March, 2026

Spectral Superposition: A Theory of Feature Geometry.

Georgi Ivanov, Narmeen Oozeer, Shivam Raval, Tasana Pejovic, Shriyash Upadhyay, Amir Abdullah

CoRR, February, 2026

Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations.

Dani Roytburg, Matthew Bozoukov, Matthew Nguyen, Mackenzie Puig-Hall, Narmeen Oozeer

CoRR, January, 2026

Make Mechanistic Interpretability Auditable: A Call to Develop Guidelines via Continuous Collaborative Reviewing.

Michael Lan, Narmeen Fatimah Oozeer, Chaithanya Bandi, Philip Quirke, Austin Meek, Fazl Barez, Amir Abdullah

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Approximating Human Preferences Using a Multi-Judge Learned System.

Eitan Sprejer, Fernando Avalos, Augusto Bernardi, Jose Pedro Brito de Azevedo Faustino, Jacob Haimes, Narmeen Oozeer

CoRR, October, 2025

Position: Require Frontier AI Labs To Release Small "Analog" Models.

Shriyash Upadhyay, Chaithanya Bandi, Narmeen Oozeer, Philip Quirke

CoRR, October, 2025

Breaking the Mirror: Activation-Based Mitigation of Self-Preference in LLM Evaluators.

Dani Roytburg, Matthew Bozoukov, Matthew Nguyen, Jou Barzdukas, Simon Fu, Narmeen Oozeer

CoRR, September, 2025

Distribution-Aware Feature Selection for SAEs.

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

CoRR, August, 2025

Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Large Language Models.

Philip Quirke, Narmeen Oozeer, Chaithanya Bandi, Amir Abdullah, Jason Hoelscher-Obermaier, Jeff M. Phillips, Joshua Greaves, Clement Neo, Fazl Barez, Shriyash Upadhyay

CoRR, June, 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

Beyond Linear Steering: Unified Multi-Attribute Control for Language Models.

Narmeen Oozeer, Luke Marks, Fazl Barez, Amir Abdullah

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

2024

Bilinear Convolution Decomposition for Causal RL Interpretability.

Narmeen Oozeer, Sinem Erisken, Alice Rigg

CoRR, 2024