Simon Lupart

Orcid: 0009-0008-2383-4557

According to our database1, Simon Lupart authored at least 14 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2025
DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Reproducing NevIR: Negation in Neural Information Retrieval.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Conversational Gold: Evaluating Personalized Conversational Search System Using Gold Nuggets.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024
Report on the Search Futures Workshop at ECIR 2024.
SIGIR Forum, June, 2024

IRLab@iKAT24: Learned Sparse Retrieval with Multi-aspect LLM Query Generation for Conversational Search.
CoRR, 2024

DiSCo Meets LLMs: A Unified Approach for Sparse Retrieval and Contextual Distillation in Conversational Search.
CoRR, 2024

2023
A Static Pruning Study on Sparse Neural Retrievers.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Benchmarking Middle-Trained Language Models for Neural Search.
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.
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.
Proceedings of the Advances in Information Retrieval, 2023

A Study on FGSM Adversarial Training for Neural Retrieval.
Proceedings of the Advances in Information Retrieval, 2023

2022
Toward A Fine-Grained Analysis of Distribution Shifts in MSMARCO.
CoRR, 2022

Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022


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