My main research topics are:
- Natural Language Processing: how to work with large language models, how to exploit them in different sub-domain tasks as multi-document summarization, long-document summarization, information retrieval
- Information Retrieval: I study novel solutions to apply IR pipelines to challenging domains (not labeled, low resources environment, dynamic dataset, ...).
- Deep metric learning: my research in this direction investigates how to apply the SOTA metric functions soundly in a self-supervised manner.
- Knowledge graph: I study how to use them in IR, particularly how to improve the representation of implicit or explicit interaction between items and expand query expressiveness.
