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Nicholas Meade

Ph.D. Student
McGill University and Mila
nicholas.meade (at) mail.mcgill.ca

About Me

I am a Ph.D. student at McGill University and Mila supervised by Prof. Siva Reddy. I previously completed my undergraduate degree at Dalhousie University in Computer Science where I worked with Prof. Sageev Oore. At Dalhousie, I worked on conditional music generation. During my studies, I have interned at Amazon Alexa AI where I worked closely with Spandana Gella and Devamanyu Hazarika.

Selected Papers

  1. arXiv
    Universal Adversarial Triggers Are Not Universal
    Nicholas Meade, Arkil Patel, Siva Reddy
    arXiv Pre-print 2024
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  2. TACL
    Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
    Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, Nicholas Meade, Siva Reddy
    TACL 2024
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  3. EMNLP
    Using In-Context Learning to Improve Dialogue Safety
    Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tür
    Findings of EMNLP 2023
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  4. EMNLP
    Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
    Andreas Madsen, Nicholas Meade, Vaibhav Adlakha, Siva Reddy
    Findings of EMNLP 2022
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  5. ACL
    An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models
    Nicholas Meade, Elinor Poole-Dayan, Siva Reddy
    ACL 2022
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