Special Section on Efficiency in Neural Information Retrieval
Sebastian Bruch, Claudio Lucchese, Maria Maistro, Franco Maria Nardini · ACM Transactions on Information Systems · 2024
The aim of this Special Section is to engage with researchers in Information Retrieval, Natural Language Processing and related areas and gather insight into the core challenges in measuring, reporting, and optimizing all facets of efficiency in Neural Information Retrieval (NIR) systems, including time-, space-, resource-, sample-, and energy-efficiency, among other factors. While researchers in the field have assiduously explored the Pareto frontier in quality and efficiency in other contexts for decades, we believe that the neural dimension introduces new hurdles.