Shaz Furniturewala

MS in Data Science @ NYU · NLP & Machine Learning

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I’m an MS in Data Science student at NYU’s Center for Data Science. I work on making language models fairer, more honest, and better aligned with how humans actually think and communicate. I’m particularly interested in NLP, fairness in language models, and mechanistic interpretability.

Previously, I was an AI Research Engineer at AlphaSense. Before that, I studied Computer Science at BITS Pilani, where I also TA’d Graph Mining and Neural Networks. During my undergrad I spent a year doing research at the SMOL Lab at the National University of Singapore with Prof. Kokil Jaidka, and the summer before that at Adobe’s MDSR Lab. My work has been published at EMNLP, ACL, AAAI, and ICWSM.

Outside research, I have strong opinions about sci-fi and fantasy books, and I take board games perhaps more seriously than I should.

selected publications

  1. toxicity.png
    Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content
    Shaz Furniturewala and Arkaitz Zubiaga
    In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2027
  2. thinking.png
    "Thinking" Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models
    Shaz Furniturewala, Surgan Jandial, Abhinav Java, and 4 more authors
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024