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cs.CL2026
GEM: A Generative Embedding Model Bridging Reasoning and Retrieval
Zhili Shen, Craig Macdonald
Modern LLMs excel at reasoning and instruction following, enabling users to express complex and diverse information needs. However, conventional retrievers largely rely on surface-…
cs.IR2026
A Sensitivity-Aware Test Collection for Search Among Personal Information
Jack McKechnie, Graham McDonald, Craig Macdonald
Traditional search tasks aim to satisfy user information needs by returning a subset of a collection of documents, ranked by the documents' relevance to a user query. However, some…