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MathVast/README.md

🎓 PhD Student in Information Retrieval

Sorbonne Université · MLIA Team X Sinequa · Paris


👋 About Me

I'm a 3rd-year PhD student in Information Retrieval at Sorbonne Université, Paris 🗼, within the MLIA team. My research is supervised by Benjamin Piwowarski and Laure Soulier, and conducted in collaboration with Sinequa.

🔬 PhD title: Adaptation without Learning of Neural Networks for Information Retrieval

I explore how neural retrieval models can transfer to new domains in 0-shot. My approach involves interpretability at its core to first understand what's happening inside models before proposing architectural improvements.


🔭 Research Interests

🧠Core Areas 🔍Specific IR Architectures
Information Retrieval
Interpretability
Cross-Encoders
Late-Interaction Models (e.g. ColBERT)
Learned Sparse Retrieval (e.g. SPLADE)

📬 Get in Touch


💡 Open to discussions on IR (as a whole) and interpretability — feel free to reach out!

Pinned Loading

  1. xpmir/mice xpmir/mice Public

    MICE - Minimal Interaction Cross Encoders

    Jupyter Notebook 6 1

  2. xpmir/cross-encoders xpmir/cross-encoders Public

    monobert experiments

    Jupyter Notebook 3 1

  3. CE-relevance-integration CE-relevance-integration Public

    Python 1

  4. IntegratedGradients IntegratedGradients Public

    Python