I am a first year PhD student in the David R. Cheriton School of Computer Science at the University of Waterloo, where I am fortunate to work under the supervision of Professor Jimmy Lin .

My research interests sit at the intersection of Information Retrieval (IR) and Natural Language Processing (NLP). I am particularly interested in how Large Language Models (LLMs) can be used to develop more reliable and effective information-access systems, especially in low-resource domains in which large-scale data is unavailable.

Previously, I graduated with a Master's degree from the Language Technologies Institiute at Carnegie Mellon University, where I was advised by Professor Jamie Callan and Professor Eduard Hovy. After earning my Master's, I worked for two years as a researcher at MIT Lincoln Laboratory before starting my PhD.

Publications

  1. Study on LLMs for Promptagator-Style Dense Retriever Training
    Daniel Gwon*, Nour Jedidi*, and Jimmy Lin.
    To appear in Conference on Information and Knowledge Management (CIKM), 2025.
    *Equal Contribution
  2. Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
    Nour Jedidi, Yung-Sung Chuang, James Glass, and Jimmy Lin.
    arXiv preprint, 2025.
  3. Choosing ‘Right’ from Wrong: A Closer Look at Selection Bias in Spatial Multiple-Choice Questions in Large Multimodal Models
    Giselle Zeno, Nour Jedidi, Steven R. Gomez
    CVPR Workshop on Benchmarking and Expanding AI Multimodal Approaches (BEAM), 2025.
    ★ Best Paper Award
  4. Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
    Nour Jedidi, Yung-Sung Chuang, Leslie Shing, and James Glass
    arXiv preprint, 2024.