The SPLADE (SParse Lexical AnD Expansion) model is a highly effective
ap...
As in other fields of artificial intelligence, the information retrieval...
Effective cross-lingual dense retrieval methods that rely on multilingua...
Current dense retrievers (DRs) are limited in their ability to effective...
Decisions in agriculture are increasingly data-driven; however, valuable...
The Differentiable Search Index (DSI) is a new, emerging paradigm for
in...
Current pre-trained language model approaches to information retrieval c...
In this paper we study how to effectively exploit implicit feedback in D...
Current dense retrievers are not robust to out-of-domain and outlier que...
The process of model checkpoint validation refers to the evaluation of t...
Online learning to rank (OLTR) aims to learn a ranker directly from impl...
Pseudo-Relevance Feedback (PRF) utilises the relevance signals from the ...
Passage retrieval and ranking is a key task in open-domain question answ...
Pseudo Relevance Feedback (PRF) is known to improve the effectiveness of...
BERT-based information retrieval models are expensive, in both time (que...