Watheq Mansour (primary advisor, current, with Shane Culpepper): Efficient and Effective Data Augmentation Strategies for Information Retrieval.
Bill Rule (primary advisor, current, with Shane Culpepper): TBA.
Daisuke Yukita (associate advisor, current, with Tim Miller): Human-centered Verification of Large Language Model Outputs.
Farid Ariai (associate advisor, current, with Gianluca Demartini): Towards Multi-Jurisdictional Legal NLP Systems.
Pietro Bernardelle (associate advisor, current, with Gianluca Demartini): Leveraging Personas to Study and Control Ideological Biases in Large Language Models.
Stefano Civelli (associate advisor, current, with Gianluca Demartini): Political Bias in Large Language Models for Content Moderation: a Persona-based Perspective.
Chuting Yu (associate advisor, current, with Teerapong Leelanupab): Understanding and Improving LLM-Based Relevance Judgement and Generation for Neural Retrieval.
Zhixuan Li (associate advisor, current, with Shane Culpepper): TBA.
Jonah Hughes (associate advisor, current, with Shane Culpepper): TBA.
Yuxuan Deng (associate advisor, current, with Shane Culpepper and Rocky Chen): TBA.
Dr Shengyao Zhuang (associate advisor, graduated 2023, with Guido Zuccon and Bevan Koopman): Teaching Pre-Trained Language Models to Rank Effectively, Efficiently, and Robustly.
Sanyam Brar (current): Evaluating and Improving Data Structures for High-Performance Text Editing.
Joe Thorne (current): Visualizing Compiler Optimizations.
Bill Rule (graduated 2025): Fast, Compact, and Dynamic Indexing for Learned Sparse Retrieval Systems.
Charlotte Pietsch (graduated 2024): Revisiting Impact-Based Index Structures for Efficient Ranking.
Zhixuan Li (graduated 2024): Exploring Batch Query Processing for Web Search.
If you are interested in working with me and wish to pursue a higher degree by research, please read the information on my recruiting page to find out more about selection criteria and how to apply.