Simon Lupart

Simon Lupart

PhD candidate at the University of Amsterdam

Simon Lupart

I am a second-year PhD candidate in Information Retrieval at the IRLab, University of Amsterdam (UvA). After completing my Master’s degree, I conducted research in Natural Language Processing and Information Retrieval at Naver Labs Europe for two years, where I was part of the Search and Recommendation team. I then joined UvA to pursue a PhD and dedicate myself fully to academic research. My doctoral studies are supervised by Prof. Dr. Evangelos Kanoulas and Dr. Mohammad Aliannejadi.

Interested in information retrieval (IR), with a particular focus on

  • conversational search,
  • distributions shifts,
  • adversarial training,
  • large language models (LLMs).

My curriculum vitae is available here.

[Google Scholar] [LinkedIn] [Twitter]

Publications

I have several papers first/co-author published in proceedings, such as SIGIR, ICTIR, ECIR and AAAI.

  1. Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas . DiSCo Meets LLMs: A Unified Approach for Sparse Retrieval and Contextual Distillation in Conversational Search. Long Paper at SIGIR’25 [link])
  2. Zahra Abbasiantaeb, Simon Lupart (equal contribution), Leif Azzopardi, Jeffery Dalton, Mohammad Aliannejadi Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets. Resource Paper at SIGIR’25 [link]
  3. Coen van den Elsen, Francien Barkhof, Thijmen Nijdam, Simon Lupart, Mohammad Aliannejadi. Reproducing NevIR: Negation in Neural Information Retrieval. Reproducibility Paper at SIGIR’25 [link]
  4. Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stephane Clinchant, Nicola Ferro, Benjamin Piwowarski. Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. Long Paper at ICTIR’23. [link]
  5. Hervé Déjean, Stephane Clinchant, Carlos Lassance, Simon Lupart, Thibault Formal. Benchmarking Middle-Trained Language Models for Neural Search. Short Paper at SIGIR’23. [link]
  6. Carlos Lassance, Simon Lupart, Hervé Dejean, Stephane Clinchant, Nicola Tonellotto. A Static Pruning Study on Sparse Neural Retrievers. Short Paper at SIGIR’23. [link]
  7. Simon Lupart, Thibault Formal, Stephane Clinchant. MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval. Full Paper at ECIR’23. [link]
  8. Simon Lupart, Stephane Clinchant. A Study on FGSM Adversarial Training for Neural Retrieval. Short Paper at ECIR’23. [link]
  9. Simon Lupart, Benoit Favre, Vassilina Nikoulina, Salah Ait-Mokhtar. Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic. Workshop paper SDU@AAAI22. [link]

Teaching & Supervision

  • TREC Track Coordinators
    • Part of the Organizers of TREC iKAT 2024 and TREC iKAT 2025 website
  • Volunteer during the 15th European Summer School on Information Retrieval (ESSIR’24)
    • Organization of the Hackathon - on the Conversational Search task
    • Github repository (essir24-convsearch)
  • Teaching assistant:
    • University of Amsterdam Master Course. Information Retrieval 1. In academic years 2023-2024 and 2024-2025; lab, grading, exam preparation and guest lecture
    • University of Amsterdam Master Course. Information Retrieval 2. In academic years 2023-2024 and 2024-2025; project design and supervision

Education

  • October 2023-Present
  • Sept. 2020 – April 2021
    • Erasmus Exchange, Imperial College London (Computing Dpt.), London, UK
  • Sept. 2018 – July 2021
    • Master of Engineering, ENSIMAG (Computing/Math Eng. School), Grenoble, France

Contact

  • Email: s.c.lupart@uva.nl