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SimonLupart/README.md

👋 Welcome to Simon Lupart's GitHub!

PhD Candidate in Information Retrieval (IR) at the University of Amsterdam (UvA), part of the IRLab.
With a strong background in Natural Language Processing (NLP) and Information Retrieval, I’m currently focused on cutting-edge research in areas such as:

  • Conversational Search
  • Distribution Shifts
  • Adversarial Training
  • Large Language Models (LLMs)

Feel free to check out my curriculum vitae for more details!

🔬 Research & Background

I hold a Master’s degree from ENSIMAG (Grenoble, France), and have previously worked at Naver Labs Europe within the Search and Recommendation team. Currently, I am pursuing my PhD under the supervision of:

My research interests revolve around improving IR systems to handle challenges in neural retrieval and adversarial conditions.

🎓 Education

  • Ph.D. in Artificial Intelligence, University of Amsterdam (2023–Present)
  • Master of Engineering, ENSIMAG (2018–2021)
  • Erasmus Exchange, Imperial College London (2020–2021)

🎓 Teaching & Supervision

  • TREC Track Coordinators:
    Part of the Organizing Team for TREC iKAT 2024
  • European Summer School on Information Retrieval (ESSIR'24):
    Organizer of the Hackathon on Conversational Search (GitHub repository)
  • Teaching Assistant (UvA):
    • Information Retrieval 1 (2023-2024)
    • Information Retrieval 2 (2023-2024)

📝 Publications

I have co-authored multiple papers published in prestigious venues such as SIGIR, ICTIR, ECIR, and AAAI. Notable works include:

  1. Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities
    ICTIR '23 Long Paper
  2. Benchmarking Middle-Trained Language Models for Neural Search
    SIGIR '23 Short Paper
  3. A Static Pruning Study on Sparse Neural Retrievers
    SIGIR '23 Short Paper
  4. MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval
    ECIR '23 Long Paper
  5. A Study on FGSM Adversarial Training for Neural Retrieval
    ECIR '23 Short Paper
  6. Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic
    AAAI '22 Workshop Paper

For the full list of my papers, check out my Google Scholar profile.

📫 Contact Me

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