Andrew Parry

Room 502, Level 5
Sir Alwyn Williams Building
Glasgow, G12 8QQ
I am a 3rd year PhD Candidate at the University of Glasgow working within the IR group. I am supervised by Dr Debasis Ganguly and Dr Sean MacAvaney. My work is currently supported by the Bloomberg PhD Data Science Fellowship. My research interests are primarily in Information Retrieval. Before my PhD I completed my honours degree in Computer Science at Glasgow.
My thesis is focused on inducing control over neural models without post-hoc constraint and how we can incorporate broader features in semantic interactions. A relatively up to date CV can be found here. Reach out on Twitter or by email if you want to chat about research or code. I’m generally interested in collaborations centred around robustness of neural systems under adversarial settings and semi-supervised signals in NLP.
news
Apr 05, 2025 | Our reproducibility paper, short paper and demo paper are accepted at SIGIR 2025! |
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Mar 10, 2025 | Our workshop paper “Corpora Performance Prediction” is accepted at QPP++@ECIR2025! |
Feb 15, 2025 | Our workshop paper “Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors” is accepted at LLM4Eval@WSDM 2025! |
Dec 16, 2024 | Our full paper and demo paper are accepted at ECIR 2025! |
Dec 08, 2024 | I have been awarded the Bloomberg Data Science Fellowship! |
selected publications
- MechIR: A Mechanistic Interpretability Framework for Information RetrievalIn Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part V , 2025
- Variations in Relevance Judgments and the Shelf Life of Test CollectionsCoRR, 2025
- Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance ModelsIn Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part II , 2024
- Top-Down Partitioning for Efficient List-Wise RankingCoRR, 2024