Lexical Entailment for Information Retrieval. - Stéphane Clinchant; Cyril Goutte; Éric Gaussier (ECIR, 2006)

Query Translation through Dictionary Adaptation. - Stéphane Clinchant; Jean-Michel Renders (CLEF, 2007)

XRCE's Participation to CLEF 2007 Domain-Specific Track. - Stéphane Clinchant; Jean-Michel Renders (CLEF (Working Notes), 2007)

Trans-Media Pseudo-Relevance Feedback Methods in Multimedia Retrieval. - Stéphane Clinchant; Jean-Michel Renders; Gabriela Csurka (CLEF, 2007)

XRCE's Participation to ImageCLEFphoto 2007. - Stéphane Clinchant; Jean-Michel Renders; Gabriela Csurka (CLEF (Working Notes), 2007)

Modélisation probabiliste de collections textuelles et distributions de mots. - Stéphane Clinchant; Éric Gaussier (AAFD, 2008)

XRCE's Participation to ImageCLEF 2008. - Julien Ah-Pine; Claudio Cifarelli; Stéphane Clinchant; Gabriela Csurka; Jean-Michel Renders (CLEF (Working Notes), 2008)

Multi-language Models and Meta-dictionary Adaptation for Accessing Multilingual Digital Libraries. - Stéphane Clinchant; Jean-Michel Renders (CLEF, 2008)

XRCE's Participation to CLEF 2008 Ad-Hoc Track. - Stéphane Clinchant; Jean-Michel Renders (CLEF (Working Notes), 2008)

The BNB Distribution for Text Modeling. - Stéphane Clinchant; Éric Gaussier (ECIR, 2008)

XRCE's Participation to Patent Mining Task at NTCIR-7. - Stéphane Clinchant; Jean-Michel Renders (NTCIR, 2008)

Comparison of Several Combinations of Multimodal and Diversity Seeking Methods for Multimedia Retrieval. - Julien Ah-Pine; Stéphane Clinchant; Gabriela Csurka (CLEF (2), 2009)

XRCE's Participation in ImageCLEF 2009. - Julien Ah-Pine; Stéphane Clinchant; Gabriela Csurka; Yan Liu (CLEF (Working Notes), 2009)

Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR. - Stéphane Clinchant; Éric Gaussier (ICTIR, 2009)

Crossing textual and visual content in different application scenarios. - Julien Ah-Pine; Marco Bressan 003; Stéphane Clinchant; Gabriela Csurka; Yves Hoppenot; Jean-Michel Renders (Multim. Tools Appl., 2009)

Leveraging Image, Text and Cross-media Similarities for Diversity-focused Multimedia Retrieval. - Julien Ah-Pine; Stéphane Clinchant; Gabriela Csurka; Florent Perronnin; Jean-Michel Renders (ImageCLEF, 2010)

XRCE's Participation in Wikipedia Retrieval, Medical Image Modality Classification and Ad-hoc Retrieval Tasks of ImageCLEF 2010. - Stéphane Clinchant; Gabriela Csurka; Julien Ah-Pine; Guillaume Jacquet; Florent Perronnin; Jorge Sánchez 002; Keyvan Minoukadeh (CLEF (Notebook Papers/LABs/Workshops), 2010)

Information-based models for ad hoc IR. - Stéphane Clinchant; Éric Gaussier (SIGIR, 2010)

Fisher Kernel Representation of Images and Some of Its Successful Applications. - Gabriela Csurka; Florent Perronnin; Luca Marchesotti; Stéphane Clinchant; Julien Ah-Pine (VISAPP (1), 2010)

Medical image modality classification and retrieval. - Gabriela Csurka; Stéphane Clinchant; Guillaume Jacquet (CBMI, 2011)

XRCE's Participation at Medical Image Modality Classification and Ad-hoc Retrieval Tasks of Image CLEF2011. - Gabriela Csurka; Stéphane Clinchant; Guillaume Jacquet (CLEF (Notebook Papers/Labs/Workshop), 2011)

XRCE's Participation at Wikipedia Retrieval of ImageCLEF 2011. - Gabriela Csurka; Stéphane Clinchant; Adrian Popescu 001 (CLEF (Notebook Papers/Labs/Workshop), 2011)

A Document Frequency Constraint for Pseudo-Relevance Feedback Models. - Stéphane Clinchant; Éric Gaussier (CORIA, 2011)

Is Document Frequency Important for PRF? - Stéphane Clinchant; Éric Gaussier (ICTIR, 2011)

Semantic combination of textual and visual information in multimedia retrieval. - Stéphane Clinchant; Julien Ah-Pine; Gabriela Csurka (ICMR, 2011)

Do IR models satisfy the TDC retrieval constraint. - Stéphane Clinchant; Éric Gaussier (SIGIR, 2011)

Modèles de RI fondés sur l'information. - Stéphane Clinchant; Éric Gaussier (Document Numérique, 2011)

Retrieval constraints and word frequency distributions a log-logistic model for IR. - Stéphane Clinchant; Éric Gaussier (Inf. Retr., 2011)

Modèles probabilistes pour les fréquences de mots et la recherche d'information. (Probabilistic Models of Document Collections). - Stéphane Clinchant (2011)

Probabilistic Models for Information Retrieval. - Stéphane Clinchant; Éric Gaussier (Textual Information Access: Statistical Models, 2012)

An empirical study of fusion operators for multimodal image retrieval. - Gabriela Csurka; Stéphane Clinchant (CBMI, 2012)

Concavity in IR models. - Stéphane Clinchant (CIKM, 2012)

Une analyse théorique des modèles de rétro-pertinence. - Stéphane Clinchant; Éric Gaussier (Document Numérique, 2012)

Aggregating Continuous Word Embeddings for Information Retrieval. - Stéphane Clinchant; Florent Perronnin (CVSM@ACL, 2013)

Domain Adaptation of Statistical Machine Translation Models with Monolingual Data for Cross Lingual Information Retrieval. - Vassilina Nikoulina; Stéphane Clinchant (ECIR, 2013)

A Theoretical Analysis of Pseudo-Relevance Feedback Models. - Stéphane Clinchant; Éric Gaussier (ICTIR, 2013)

Textual Similarity with a Bag-of-Embedded-Words Model. - Stéphane Clinchant; Florent Perronnin (ICTIR, 2013)

Understanding Dynamic Pricing for Parking in Los Angeles: Survey and Ethnographic Results. - James Glasnapp; Honglu Du; Christopher R. Dance; Stéphane Clinchant; Alex Pudlin; Daniel Mitchell; Onno Zoeter (HCI (18), 2014)

New algorithms for parking demand management and a city-scale deployment. - Onno Zoeter; Christopher R. Dance; Stéphane Clinchant; Jean-Marc Andreoli (KDD, 2014)

Unsupervised Visual and Textual Information Fusion in Multimedia Retrieval - A Graph-based Point of View. - Gabriela Csurka; Julien Ah-Pine; Stéphane Clinchant (CoRR, 2014)

Evaluating Stacked Marginalised Denoising Autoencoders Within Domain Adaptation Methods. - Boris Chidlovskii; Gabriela Csurka; Stéphane Clinchant (CLEF, 2015)

Adapted Domain Specific Class Means. - Gabriela Csurka; Boris Chidlovskii; Stéphane Clinchant (ICCV Workshops, 2015)

Unsupervised Visual and Textual Information Fusion in CBMIR Using Graph-Based Methods. - Julien Ah-Pine; Gabriela Csurka; Stéphane Clinchant (ACM Trans. Inf. Syst., 2015)

A Domain Adaptation Regularization for Denoising Autoencoders. - Stéphane Clinchant; Gabriela Csurka; Boris Chidlovskii (ACL (2), 2016)

Transductive Adaptation of Black Box Predictions. - Stéphane Clinchant; Boris Chidlovskii; Gabriela Csurka (ACL (2), 2016)

Unsupervised Domain Adaptation with Regularized Domain Instance Denoising. - Gabriela Csurka; Boris Chidlovskii; Stéphane Clinchant; Sophia Michel (ECCV Workshops (3), 2016)

Domain Adaptation in the Absence of Source Domain Data. - Boris Chidlovskii; Stéphane Clinchant; Gabriela Csurka (KDD, 2016)

Discrepancy-Based Networks for Unsupervised Domain Adaptation: A Comparative Study. - Gabriela Csurka; Fabien Baradel; Boris Chidlovskii; Stéphane Clinchant (ICCV Workshops, 2017)

An Extended Framework for Marginalized Domain Adaptation. - Gabriela Csurka; Boris Chidlovskii; Stéphane Clinchant; Sophia Michel (CoRR, 2017)

What to Do When the Access to the Source Data Is Constrained? - Gabriela Csurka; Boris Chidlovskii; Stéphane Clinchant (Domain Adaptation in Computer Vision Applications, 2017)

Comparing Machine Learning Approaches for Table Recognition in Historical Register Books. - Stéphane Clinchant; Hervé Déjean; Jean-Luc Meunier; Eva Maria Lang; Florian Kleber (DAS, 2018)

On the use of BERT for Neural Machine Translation. - Stéphane Clinchant; Kweon Woo Jung; Vassilina Nikoulina (NGT@EMNLP-IJCNLP, 2019)

Running Tour Generation for Unknown Environments. - Jutta Willamowski; Stéphane Clinchant; Christophe Legras; Sofia Michel; Shreepriya Shreepriya (HCI (34), 2019)

Learning to Rank Images with Cross-Modal Graph Convolutions. - Thibault Formal; Stéphane Clinchant; Jean-Michel Renders; Sooyeol Lee; Geun-Hee Cho (ECIR (1), 2020)

Naver Labs Europe @ TREC Deep Learning 2020. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (TREC, 2020)

Evaluating an Itinerary Recommendation Algorithm for Runners. - Shreepriya Shreepriya; Christophe Legras; Stéphane Clinchant; Jutta Willamowski (CHI Extended Abstracts, 2021)

Une Analyse du Modèle ColBERT. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (CORIA, 2021)

A White Box Analysis of ColBERT. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (ECIR (2), 2021)

Efficient Inference for Multilingual Neural Machine Translation. - Alexandre Berard; Dain Lee; Stéphane Clinchant; Kweon Woo Jung; Vassilina Nikoulina (EMNLP (1), 2021)

GReS: Workshop on Graph Neural Networks for Recommendation and Search. - Thibaut Thonet; Stéphane Clinchant; Carlos Lassance; Elvin Isufi; Jiaqi Ma 001; Yutong Xie 007; Jean-Michel Renders; Michael M. Bronstein (RecSys, 2021)

SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (SIGIR, 2021)

Composite Code Sparse Autoencoders for First Stage Retrieval. - Carlos Lassance; Thibault Formal; Stéphane Clinchant (SIGIR, 2021)

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2021. - Carlos Lassance; Arnaud Sors; Stéphane Clinchant; Thibault Formal; Benjamin Piwowarski (TREC, 2021)

Masked Adversarial Generation for Neural Machine Translation. - Badr Youbi Idrissi; Stéphane Clinchant (CoRR, 2021)

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval. - Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant (CoRR, 2021)

A Study on Token Pruning for ColBERT. - Carlos Lassance; Maroua Maachou; Joohee Park; Stéphane Clinchant (CoRR, 2021)

A Study of Lexical Matching in Neural Information Retrieval - Abstract⋆. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (CIRCLE, 2022)

Match Your Words! A Study of Lexical Matching in Neural Information Retrieval. - Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant (ECIR (2), 2022)

From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. - Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant (SIGIR, 2022)

An Efficiency Study for SPLADE Models. - Carlos Lassance; Stéphane Clinchant (SIGIR, 2022)

Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT). - Carlos Lassance; Maroua Maachou; Joohee Park; Stéphane Clinchant (SIGIR, 2022)

Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022. - Carlos Lassance; Stéphane Clinchant (TREC, 2022)

Learning with Label Noise for Image Retrieval by Selecting Interactions. - Sarah Ibrahimi; Arnaud Sors; Rafael Sampaio de Rezende; Stéphane Clinchant (WACV, 2022)

Toward A Fine-Grained Analysis of Distribution Shifts in MSMARCO. - Simon Lupart; Stéphane Clinchant (CoRR, 2022)

LayoutXLM vs. GNN: An Empirical Evaluation of Relation Extraction for Documents. - Hervé Déjean; Stéphane Clinchant; Jean-Luc Meunier (CoRR, 2022)

Query Performance Prediction for Neural IR: Are We There Yet? - Guglielmo Faggioli; Thibault Formal; Stefano Marchesin 001; Stéphane Clinchant; Nicola Ferro 001; Benjamin Piwowarski (ECIR (1), 2023)

An Experimental Study on Pretraining Transformers from Scratch for IR. - Carlos Lassance; Hervé Déjean; Stéphane Clinchant (ECIR (1), 2023)

A Study on FGSM Adversarial Training for Neural Retrieval. - Simon Lupart; Stéphane Clinchant (ECIR (2), 2023)

MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval. - Simon Lupart; Thibault Formal; Stéphane Clinchant (ECIR (1), 2023)

Parameter-Efficient Sparse Retrievers and Rerankers Using Adapters. - Vaishali Pal; Carlos Lassance; Hervé Déjean; Stéphane Clinchant (ECIR (2), 2023)

Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. - Guglielmo Faggioli; Thibault Formal; Simon Lupart; Stefano Marchesin 001; Stéphane Clinchant; Nicola Ferro 001; Benjamin Piwowarski (ICTIR, 2023)

On the Limitations of Query Performance Prediction for Neural IR. - Guglielmo Faggioli; Thibault Formal; Stefano Marchesin 001; Stéphane Clinchant; Nicola Ferro 001; Benjamin Piwowarski (SEBD, 2023)

Benchmarking Middle-Trained Language Models for Neural Search. - Hervé Déjean; Stéphane Clinchant; Carlos Lassance; Simon Lupart; Thibault Formal (SIGIR, 2023)

The Tale of Two MSMARCO - and Their Unfair Comparisons. - Carlos Lassance; Stéphane Clinchant (SIGIR, 2023)

A Static Pruning Study on Sparse Neural Retrievers. - Carlos Lassance; Simon Lupart; Hervé Déjean; Stéphane Clinchant; Nicola Tonellotto (SIGIR, 2023)

AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. - Jheng-Hong Yang; Carlos Lassance; Rafael Sampaio de Rezende; Krishna Srinivasan; Miriam Redi; Stéphane Clinchant; Jimmy Lin (SIGIR, 2023)

TREC2023 AToMiC Overview. - Jheng-Hong Yang; Carlos Lassance; Rafael Sampaio de Rezende; Krishna Srinivasan; Miriam Redi; Stéphane Clinchant; Jimmy Lin (TREC, 2023)

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022. - Carlos Lassance; Stéphane Clinchant (CoRR, 2023)

The tale of two MS MARCO - and their unfair comparisons. - Carlos Lassance; Stéphane Clinchant (CoRR, 2023)

Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. - Carlos Lassance; Hervé Déjean; Stéphane Clinchant; Nicola Tonellotto (ECIR (2), 2024)

BERGEN: A Benchmarking Library for Retrieval-Augmented Generation. - David Rau; Hervé Déjean; Nadezhda Chirkova; Thibault Formal; Shuai Wang 004; Stéphane Clinchant; Vassilina Nikoulina (EMNLP (Findings), 2024)

SPLATE: Sparse Late Interaction Retrieval. - Thibault Formal; Stéphane Clinchant; Hervé Déjean; Carlos Lassance (SIGIR, 2024)

SPLADE-v3: New baselines for SPLADE. - Carlos Lassance; Hervé Déjean; Thibault Formal; Stéphane Clinchant (CoRR, 2024)

A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE. - Hervé Déjean; Stéphane Clinchant; Thibault Formal (CoRR, 2024)

Retrieval-augmented generation in multilingual settings. - Nadezhda Chirkova; David Rau; Hervé Déjean; Thibault Formal; Stéphane Clinchant; Vassilina Nikoulina (CoRR, 2024)

Context Embeddings for Efficient Answer Generation in RAG. - David Rau; Shuai Wang 004; Hervé Déjean; Stéphane Clinchant (CoRR, 2024)

Towards Effective and Efficient Sparse Neural Information Retrieval. - Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant (ACM Trans. Inf. Syst., 2024)

PISCO: Pretty Simple Compression for Retrieval-Augmented Generation. - Maxime Louis; Hervé Déjean; Stéphane Clinchant (ACL (Findings), 2025)

Provence: efficient and robust context pruning for retrieval-augmented generation. - Nadezhda Chirkova; Thibault Formal; Vassilina Nikoulina; Stéphane Clinchant (ICLR, 2025)

Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation. - David Rau; Shuai Wang 004; Hervé Déjean; Stéphane Clinchant; Jaap Kamps (WSDM, 2025)

RANa: Retrieval-Augmented Navigation. - Gianluca Monaci; Rafael S. Rezende; Romain Deffayet; Gabriela Csurka; Guillaume Bono; Hervé Déjean; Stéphane Clinchant; Christian Wolf 001 (CoRR, 2025)

OSCAR: Online Soft Compression And Reranking. - Maxime Louis; Thibault Formal; Hervé Déjean; Stéphane Clinchant (CoRR, 2025)

Reranking with Compressed Document Representation. - Hervé Déjean; Stéphane Clinchant (CoRR, 2025)