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06/05/2023
Benchmarking Middle-Trained Language Models for Neural Search
Middle training methods aim to bridge the gap between the Masked Languag...
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02/20/2023
Query Performance Prediction for Neural IR: Are We There Yet?
Evaluation in Information Retrieval relies on post-hoc empirical procedu...
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01/11/2023
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
Conversational search is a difficult task as it aims at retrieving docum...
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05/10/2022
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective
Neural retrievers based on dense representations combined with Approxima...
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04/14/2022
Composite Code Sparse Autoencoders for first stage retrieval
We propose a Composite Code Sparse Autoencoder (CCSA) approach for Appro...
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12/10/2021
Match Your Words! A Study of Lexical Matching in Neural Information Retrieval
Neural Information Retrieval models hold the promise to replace lexical ...
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09/21/2021
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
In neural Information Retrieval (IR), ongoing research is directed towar...
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07/12/2021
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
In neural Information Retrieval, ongoing research is directed towards im...
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12/17/2020
