Middle training methods aim to bridge the gap between the Masked Languag...
Evaluation in Information Retrieval relies on post-hoc empirical procedu...
Conversational search is a difficult task as it aims at retrieving docum...
Neural retrievers based on dense representations combined with Approxima...
We propose a Composite Code Sparse Autoencoder (CCSA) approach for
Appro...
Neural Information Retrieval models hold the promise to replace lexical
...
In neural Information Retrieval (IR), ongoing research is directed towar...
In neural Information Retrieval, ongoing research is directed towards
im...
Transformer-based models are nowadays state-of-the-art in ad-hoc Informa...