| 2025 | ACL | PISCO: Pretty Simple Compression for Retrieval-Augmented Generation. | Maxime Louis, Herv Djean, Stphane Clinchant |
| 2025 | ICLR | Provence: efficient and robust context pruning for retrieval-augmented generation. | Nadezhda Chirkova, Thibault Formal, Vassilina Nikoulina, Stphane Clinchant |
| 2025 | WSDM | Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation. | David Rau, Shuai Wang, Herv Djean, Stphane Clinchant, Jaap Kamps |
| 2024 | ECIR | Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. | Carlos Lassance, Herv Djean, Stphane Clinchant, Nicola Tonellotto |
| 2024 | EMNLP | BERGEN: A Benchmarking Library for Retrieval-Augmented Generation. | David Rau, Herv Djean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Stphane Clinchant, Vassilina Nikoulina |
| 2024 | SIGIR | SPLATE: Sparse Late Interaction Retrieval. | Thibault Formal, Stphane Clinchant, Herv Djean, Carlos Lassance |
| 2023 | ECIR | Query Performance Prediction for Neural IR: Are We There Yet? | Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stphane Clinchant, Nicola Ferro, Benjamin Piwowarski |
| 2023 | ECIR | An Experimental Study on Pretraining Transformers from Scratch for IR. | Carlos Lassance, Herv Djean, Stphane Clinchant |
| 2023 | ECIR | A Study on FGSM Adversarial Training for Neural Retrieval. | Simon Lupart, Stphane Clinchant |
| 2023 | ECIR | MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval. | Simon Lupart, Thibault Formal, Stphane Clinchant |
| 2023 | ECIR | Parameter-Efficient Sparse Retrievers and Rerankers Using Adapters. | Vaishali Pal, Carlos Lassance, Herv Djean, Stphane Clinchant |
| 2023 | ICTIR | Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. | Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stphane Clinchant, Nicola Ferro, Benjamin Piwowarski |
| 2023 | SIGIR | Benchmarking Middle-Trained Language Models for Neural Search. | Herv Djean, Stphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal |
| 2023 | SIGIR | The Tale of Two MSMARCO - and Their Unfair Comparisons. | Carlos Lassance, Stphane Clinchant |
| 2023 | SIGIR | A Static Pruning Study on Sparse Neural Retrievers. | Carlos Lassance, Simon Lupart, Herv Djean, Stphane Clinchant, Nicola Tonellotto |
| 2023 | SIGIR | 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, Stphane Clinchant, Jimmy Lin |
| 2022 | ECIR | Match Your Words! A Study of Lexical Matching in Neural Information Retrieval. | Thibault Formal, Benjamin Piwowarski, Stphane Clinchant |
| 2022 | SIGIR | From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. | Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stphane Clinchant |
| 2022 | SIGIR | An Efficiency Study for SPLADE Models. | Carlos Lassance, Stphane Clinchant |
| 2022 | SIGIR | Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT). | Carlos Lassance, Maroua Maachou, Joohee Park, Stphane Clinchant |
| 2022 | WACV | Learning with Label Noise for Image Retrieval by Selecting Interactions. | Sarah Ibrahimi, Arnaud Sors, Rafael Sampaio de Rezende, Stphane Clinchant |
| 2021 | CHI | Evaluating an Itinerary Recommendation Algorithm for Runners. | Shreepriya Shreepriya, Christophe Legras, Stphane Clinchant, Jutta Willamowski |
| 2021 | ECIR | A White Box Analysis of ColBERT. | Thibault Formal, Benjamin Piwowarski, Stphane Clinchant |
| 2021 | EMNLP | Efficient Inference for Multilingual Neural Machine Translation. | Alexandre Berard, Dain Lee, Stphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina |
| 2021 | RecSys | GReS: Workshop on Graph Neural Networks for Recommendation and Search. | Thibaut Thonet, Stphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein |
| 2021 | SIGIR | SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking. | Thibault Formal, Benjamin Piwowarski, Stphane Clinchant |
| 2021 | SIGIR | Composite Code Sparse Autoencoders for First Stage Retrieval. | Carlos Lassance, Thibault Formal, Stphane Clinchant |
| 2020 | ECIR | Learning to Rank Images with Cross-Modal Graph Convolutions. | Thibault Formal, Stphane Clinchant, Jean-Michel Renders, Sooyeol Lee, Geun-Hee Cho |
| 2019 | EMNLP | On the use of BERT for Neural Machine Translation. | Stphane Clinchant, Kweon Woo Jung, Vassilina Nikoulina |
| 2019 | HCI | Running Tour Generation for Unknown Environments. | Jutta Willamowski, Stphane Clinchant, Christophe Legras, Sofia Michel, Shreepriya Shreepriya |
| 2018 | DAS | Comparing Machine Learning Approaches for Table Recognition in Historical Register Books. | Stphane Clinchant, Herv Djean, Jean-Luc Meunier, Eva Maria Lang, Florian Kleber |
| 2016 | ACL | A Domain Adaptation Regularization for Denoising Autoencoders. | Stphane Clinchant, Gabriela Csurka, Boris Chidlovskii |
| 2016 | ACL | Transductive Adaptation of Black Box Predictions. | Stphane Clinchant, Boris Chidlovskii, Gabriela Csurka |
| 2016 | ECCV | Unsupervised Domain Adaptation with Regularized Domain Instance Denoising. | Gabriela Csurka, Boris Chidlovskii, Stphane Clinchant, Sophia Michel |
| 2016 | KDD | Domain Adaptation in the Absence of Source Domain Data. | Boris Chidlovskii, Stphane Clinchant, Gabriela Csurka |
| 2014 | HCI | Understanding Dynamic Pricing for Parking in Los Angeles: Survey and Ethnographic Results. | James Glasnapp, Honglu Du, Christopher R. Dance, Stphane Clinchant, Alex Pudlin, Daniel Mitchell, Onno Zoeter |
| 2014 | KDD | New algorithms for parking demand management and a city-scale deployment. | Onno Zoeter, Christopher R. Dance, Stphane Clinchant, Jean-Marc Andreoli |
| 2013 | ACL | Aggregating Continuous Word Embeddings for Information Retrieval. | Stphane Clinchant, Florent Perronnin |
| 2013 | ECIR | Domain Adaptation of Statistical Machine Translation Models with Monolingual Data for Cross Lingual Information Retrieval. | Vassilina Nikoulina, Stphane Clinchant |
| 2013 | ICTIR | A Theoretical Analysis of Pseudo-Relevance Feedback Models. | Stphane Clinchant, ric Gaussier |
| 2013 | ICTIR | Textual Similarity with a Bag-of-Embedded-Words Model. | Stphane Clinchant, Florent Perronnin |
| 2012 | CBMI | An empirical study of fusion operators for multimodal image retrieval. | Gabriela Csurka, Stphane Clinchant |
| 2012 | CIKM | Concavity in IR models. | Stphane Clinchant |
| 2011 | CBMI | Medical image modality classification and retrieval. | Gabriela Csurka, Stphane Clinchant, Guillaume Jacquet |
| 2011 | ICTIR | Is Document Frequency Important for PRF? | Stphane Clinchant, ric Gaussier |
| 2011 | SIGIR | Do IR models satisfy the TDC retrieval constraint. | Stphane Clinchant, ric Gaussier |
| 2010 | SIGIR | Information-based models for ad hoc IR. | Stphane Clinchant, ric Gaussier |
| 2009 | CIKM | Retrieval constraints and word frequency distributions: a log-logistic model for IR. | Stphane Clinchant, ric Gaussier |
| 2009 | ICTIR | Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR. | Stphane Clinchant, ric Gaussier |
| 2008 | ECIR | The BNB Distribution for Text Modeling. | Stphane Clinchant, ric Gaussier |
| 2006 | ECIR | Lexical Entailment for Information Retrieval. | Stphane Clinchant, Cyril Goutte, ric Gaussier |