 Variable and metrics This model is evaluated on information retrieval datasets with document level queries. Performance here is reported on CSFCube (computer science/English). This is detailed on [github](https://github.com/allenai/aspire) and in our [paper](https://arxiv.org/abs/2111.08366). CSFCube presents a finer-grained query via selected sentences in a query abstract based on which a finer-grained retrieval must be made from candidate abstracts. The bi-encoder above ignores the finer grained query sentences and uses the whole abstract - this presents a baseline in the paper.  We rank documents by the L2 distance between the query and candidate documents.  