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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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04/25/2023
The tale of two MS MARCO – and their unfair comparisons
The MS MARCO-passage dataset has been the main large-scale dataset open ...
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04/25/2023
A Static Pruning Study on Sparse Neural Retrievers
Sparse neural retrievers, such as DeepImpact, uniCOIL and SPLADE, have b...
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04/04/2023
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation
This paper presents the AToMiC (Authoring Tools for Multimedia Content) ...
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03/23/2023
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters
Parameter-Efficient transfer learning with Adapters have been studied in...
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03/10/2023
Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022
This paper describes our participation in the 2022 TREC NeuCLIR challeng...
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02/24/2023
Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022
This paper describes our participation to the 2022 TREC Deep Learning ch...
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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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01/25/2023
A Study on FGSM Adversarial Training for Neural Retrieval
Neural retrieval models have acquired significant effectiveness gains ov...
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01/25/2023
An Experimental Study on Pretraining Transformers from Scratch for IR
Finetuning Pretrained Language Models (PLM) for IR has been de facto the...
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07/08/2022
An Efficiency Study for SPLADE Models
Latency and efficiency issues are often overlooked when evaluating IR mo...
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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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05/05/2022
Toward A Fine-Grained Analysis of Distribution Shifts in MSMARCO
Recent IR approaches based on Pretrained Language Models (PLM) have now ...
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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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12/20/2021
Learning with Label Noise for Image Retrieval by Selecting Interactions
Learning with noisy labels is an active research area for image classifi...
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12/13/2021
A Study on Token Pruning for ColBERT
The ColBERT model has recently been proposed as an effective BERT based ...
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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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09/14/2021
Efficient Inference for Multilingual Neural Machine Translation
Multilingual NMT has become an attractive solution for MT deployment in ...
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09/01/2021
Masked Adversarial Generation for Neural Machine Translation
Attacking Neural Machine Translation models is an inherently combinatori...
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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
A White Box Analysis of ColBERT
Transformer-based models are nowadays state-of-the-art in ad-hoc Informa...
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09/27/2019
On the use of BERT for Neural Machine Translation
Exploiting large pretrained models for various NMT tasks have gained a l...
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06/14/2019
