Carlos Lassance

60 papers A* 12A 1B 2Misc 1Journal 31Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Evaluating the Efficiency and Effectiveness of Learned Sparse Retrieval with the lsr_benchmark. ECIR (4) Maik Fröbe, Ferdinand Schlatt, Cosimo Rulli, Tim Hagen, Jan Heinrich Merker, Gijs Hendriksen, Carlos Lassance, Franco Maria Nardini, Rossano Venturini, Martin Potthast
2026	—	`conf`	Neural Lexical Search with Learned Sparse Retrieval. ECIR (4) Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei
2025	A*	`conf`	Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. SIGIR Jimmy Lin, Arthur Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong
2025	A*	`conf`	Neural Lexical Search with Learned Sparse Retrieval. SIGIR Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei
2024	—	`conf`	Neural Lexical Search with Learned Sparse Retrieval. SIGIR-AP Andrew Yates, Carlos Lassance, Sean MacAvaney, Thong Nguyen, Yibin Lei
2024	A*	`conf`	Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. SIGIR Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin
2024	J	`jnl`	SPLADE-v3: New baselines for SPLADE. CoRR Carlos Lassance, Hervé Déjean, Thibault Formal, Stéphane Clinchant
2024	A*	`conf`	SPLATE: Sparse Late Interaction Retrieval. SIGIR Thibault Formal, Stéphane Clinchant, Hervé Déjean, Carlos Lassance
2024	J	`jnl`	SPLATE: Sparse Late Interaction Retrieval. CoRR Thibault Formal, Stéphane Clinchant, Hervé Déjean, Carlos Lassance
2024	J	`jnl`	Towards Effective and Efficient Sparse Neural Information Retrieval. ACM Trans. Inf. Syst. Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant
2024	—	`conf`	Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. ECIR (2) Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
2024	J	`jnl`	Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE. CoRR Carlos Lassance, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
2023	A*	`conf`	A Static Pruning Study on Sparse Neural Retrievers. SIGIR Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
2023	J	`jnl`	A Static Pruning Study on Sparse Neural Retrievers. CoRR Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto
2023	A*	`conf`	AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. SIGIR Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin
2023	J	`jnl`	AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. CoRR Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin
2023	—	`conf`	An Experimental Study on Pretraining Transformers from Scratch for IR. ECIR (1) Carlos Lassance, Hervé Déjean, Stéphane Clinchant
2023	J	`jnl`	An Experimental Study on Pretraining Transformers from Scratch for IR. CoRR Carlos Lassance, Hervé Déjean, Stéphane Clinchant
2023	A*	`conf`	Benchmarking Middle-Trained Language Models for Neural Search. SIGIR Hervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal
2023	J	`jnl`	Benchmarking Middle-Trained Language Models for Neural Search. CoRR Hervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal
2023	J	`jnl`	End-to-End Retrieval with Learned Dense and Sparse Representations Using Lucene. CoRR Arthur Haonan Chen, Carlos Lassance, Jimmy Lin
2023	J	`jnl`	Extending English IR methods to multi-lingual IR. CoRR Carlos Lassance
2023	J	`jnl`	Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022. CoRR Carlos Lassance, Stéphane Clinchant
2023	J	`jnl`	Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022. CoRR Carlos Lassance, Stéphane Clinchant
2023	—	`conf`	Naverloo @ TREC Deep Learning and Neuclir 2023: As Easy as Zero, One, Two, Three - Cascading Dual Encoders, Mono, Duo, and Listo for Ad-Hoc Retrieval. TREC Carlos Lassance, Ronak Pradeep, Jimmy Lin
2023	—	`conf`	Parameter-Efficient Sparse Retrievers and Rerankers Using Adapters. ECIR (2) Vaishali Pal, Carlos Lassance, Hervé Déjean, Stéphane Clinchant
2023	J	`jnl`	Parameter-Efficient Sparse Retrievers and Rerankers using Adapters. CoRR Vaishali Pal, Carlos Lassance, Hervé Déjean, Stéphane Clinchant
2023	J	`jnl`	Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard. CoRR Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin
2023	J	`jnl`	Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. CoRR Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang
2023	—	`conf`	TREC2023 AToMiC Overview. TREC Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin
2023	A*	`conf`	The Tale of Two MSMARCO - and Their Unfair Comparisons. SIGIR Carlos Lassance, Stéphane Clinchant
2023	J	`jnl`	The tale of two MS MARCO - and their unfair comparisons. CoRR Carlos Lassance, Stéphane Clinchant
2022	A*	`conf`	An Efficiency Study for SPLADE Models. SIGIR Carlos Lassance, Stéphane Clinchant
2022	J	`jnl`	An Efficiency Study for SPLADE Models. CoRR Carlos Lassance, Stéphane Clinchant
2022	J	`jnl`	Composite Code Sparse Autoencoders for first stage retrieval. CoRR Carlos Lassance, Thibault Formal, Stéphane Clinchant
2022	A*	`conf`	From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. SIGIR Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant
2022	J	`jnl`	From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective. CoRR Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant
2022	A*	`conf`	Learned Token Pruning in Contextualized Late Interaction over BERT (ColBERT). SIGIR Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant
2022	—	`conf`	Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022. TREC Carlos Lassance, Stéphane Clinchant
2022	—	`conf`	Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. TREC Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang
2021	J	`jnl`	A Study on Token Pruning for ColBERT. CoRR Carlos Lassance, Maroua Maachou, Joohee Park, Stéphane Clinchant
2021	A*	`conf`	Composite Code Sparse Autoencoders for First Stage Retrieval. SIGIR Carlos Lassance, Thibault Formal, Stéphane Clinchant
2021	A	`conf`	GReS: Workshop on Graph Neural Networks for Recommendation and Search. RecSys Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein
2021	J	`jnl`	Graphs as Tools to Improve Deep Learning Methods. CoRR Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon
2021	J	`jnl`	Improved Visual Localization via Graph Filtering. J. Imaging Carlos Lassance, Yasir Latif, Ravi Garg, Vincent Gripon, Ian Reid
2021	B	`conf`	Improving Classification Accuracy With Graph Filtering. ICIP Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
2021	J	`jnl`	Improving Classification Accuracy with Graph Filtering. CoRR Mounia Hamidouche, Carlos Lassance, Yuqing Hu, Lucas Drumetz, Bastien Pasdeloup, Vincent Gripon
2021	—	`conf`	Naver Labs Europe (SPLADE) @ TREC Deep Learning 2021. TREC Carlos Lassance, Arnaud Sors, Stéphane Clinchant, Thibault Formal, Benjamin Piwowarski
2021	J	`jnl`	Representing Deep Neural Networks Latent Space Geometries with Graphs. Algorithms Carlos Lassance, Vincent Gripon, Antonio Ortega
2021	J	`jnl`	SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval. CoRR Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant
2021	J	`jnl`	TLDR: Twin Learning for Dimensionality Reduction. CoRR Yannis Kalantidis, Carlos Lassance, Jon Almazán, Diane Larlus
2020	B	`conf`	Attention Based Pruning for Shift Networks. ICPR Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio
2020	J	`jnl`	DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems. CoRR Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene
2020	Misc	`conf`	Deep Geometric Knowledge Distillation with Graphs. ICASSP Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2020	—	`conf`	Graph Topology Inference Benchmarks for Machine Learning. MLSP Carlos Lassance, Vincent Gripon, Gonzalo Mateos
2020	J	`jnl`	Graph topology inference benchmarks for machine learning. CoRR Carlos Lassance, Vincent Gripon, Gonzalo Mateos
2020	J	`jnl`	Graphs for deep learning representations. CoRR Carlos Lassance
2020	—	`conf`	Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio
2020	J	`jnl`	Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs. CoRR Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon
2020	J	`jnl`	Representing Deep Neural Networks Latent Space Geometries with Graphs. CoRR Carlos Lassance, Vincent Gripon, Antonio Ortega