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. Revisiting Feedback Models for HyDE
   Nour Jedidi and Jimmy Lin
   arXiv preprint, November 2025
   
2. Study on LLMs for Promptagator-Style Dense Retriever Training
   Daniel Gwon^*, Nour Jedidi^*, and Jimmy Lin
   Conference on Information and Knowledge Management (CIKM), November 2025
   ^*Equal Contribution
3. From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
   Khaled Boughanmi^*, Kamel Jedidi^*, and Nour Jedidi^*
   arXiv preprint, October 2025
   ^*Authors listed alphabetically
4. Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
   Nour Jedidi, Yung-Sung Chuang, James Glass, and Jimmy Lin
   arXiv preprint, May 2025
   
5. Choosing ‘Right’ from Wrong: A Closer Look at Selection Bias in Spatial Multiple-Choice Questions in Large Multimodal Models
   Giselle Zeno, Nour Jedidi, and Steven R. Gomez
   CVPR Workshop on Benchmarking and Expanding AI Multimodal Approaches (BEAM), June 2025
   ★ Best Paper Award
6. Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
   Nour Jedidi, Yung-Sung Chuang, Leslie Shing, and James Glass
   arXiv preprint, October 2024