👋 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!

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🔬 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:

• Prof. Dr. Evangelos Kanoulas
• Dr. Mohammad Aliannejadi

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

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🎓 Education

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

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🎓 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)

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📝 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.

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📫 Contact Me

• Email: s.c.lupart@uva.nl
• Google Scholar | LinkedIn | Twitter