Simon Lupart

According to our database, Simon Lupart authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Report on the Search Futures Workshop at ECIR 2024.

Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren, Mohammad Aliannejadi, Negar Arabzadeh, Raman Chandrasekar, Maarten de Rijke, Panagiotis Eustratiadis, William R. Hersh, Jin Huang, Evangelos Kanoulas, Jasmin Kareem, Yongkang Li, Simon Lupart, Kidist Amde Mekonnen, Adam Roegiest, Ian Soboroff, Fabrizio Silvestri, Suzan Verberne, David Vos, Eugene Yang, Yuyue Zhao

SIGIR Forum, June, 2024

DiSCo Meets LLMs: A Unified Approach for Sparse Retrieval and Contextual Distillation in Conversational Search.

Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas

CoRR, 2024

2023

A Static Pruning Study on Sparse Neural Retrievers.

Carlos Lassance, Simon Lupart, Hervé Déjean, Stéphane Clinchant, Nicola Tonellotto

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Benchmarking Middle-Trained Language Models for Neural Search.

Hervé Déjean, Stéphane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities.

Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval.

Simon Lupart, Thibault Formal, Stéphane Clinchant

Proceedings of the Advances in Information Retrieval, 2023

A Study on FGSM Adversarial Training for Neural Retrieval.

Simon Lupart, Stéphane Clinchant

Proceedings of the Advances in Information Retrieval, 2023

2022

Toward A Fine-Grained Analysis of Distribution Shifts in MSMARCO.

Simon Lupart, Stéphane Clinchant

CoRR, 2022

Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic.

Simon Lupart, Benoît Favre, Vassilina Nikoulina, Salah Ait-Mokhtar

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022