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 and natural language processing. I am particularly interested in how
large language models 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 Institute 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
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Revisiting BM25 Feedback Models using HyDE
Nour Jedidi and Jimmy Lin
SIGIR 2026
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NanoKnow: How to Know What Your Language Model Knows
Lingwei Gu*, Nour Jedidi*, and Jimmy Lin (* equal contribution)
SIGIR 2026
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A Systematic Study of Pseudo-Relevance Feedback with LLMs
Nour Jedidi and Jimmy Lin
arXiv 2026
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Study on LLMs for Promptagator-Style Dense Retriever Training
Daniel Gwon*, Nour Jedidi*, and Jimmy Lin (* equal contribution)
CIKM 2025
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From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
Khaled Boughanmi, Kamel Jedidi, and Nour Jedidi
arXiv 2025
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Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
Nour Jedidi, Yung-Sung Chuang, James Glass, and Jimmy Lin
arXiv 2025
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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
Benchmarking and Expanding AI Multimodal Approaches (BEAM) Workshop @ CVPR 2025
★ Best Paper Award -
Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
Nour Jedidi, Yung-Sung Chuang, Leslie Shing, and James Glass
arXiv 2024
