Accepted Papers

Vision transformers in vision-language models apply uniform computational effort across all images, expending 175.33 GFLOPs whether analysing a straightforward product photograph or a complex street scene. We propose ICAR (Image Complexity-Aware Retrieval), which enables vision transformers to use l...

Resolving complex information needs that come with multiple constraints should consider enforcing the logical operators encoded in the query (i.e., conjunction, disjunction, negation) on the candidate answer set. Current retrieval systems either ignore these constraints in neural embeddings or appro...

Off-policy evaluation (OPE) and optimization for learning to rank (LTR) leverage document placement probabilities to correct for the effects of various statistical biases, e.g., position bias. However, computing these propensities poses a challenge, as for most ranking models this requires iterating...