Large Language Models

14:00 - Keynote talk: "The I in LLMs stands for Intelligence": Large Language Models and their use in Natural Language Processing

Marie-Catherine de Marneffe (FNRS/UCLouvain)

In this seminar, we will review what Large Language Models (LLMs) are and see how they are currently used in Natural Language Processing (NLP). I will first briefly go over the developments in the NLP field that led to LLMs. After describing what LLMs are and highlighting their advantages and disadvantages, we will delve into their current uses in NLP. Finally, I will go over some of my own research, investigating what LLMs capture of pragmatics.

16:15 - Short presentations

• Charlotte Nachtegael (ULB): DUVEL: an active-learning annotated biomedical corpus for the recognition of oligogenic combinations
• Jan Held (ULiège): Explainability model for football referee decision
• Benoît Ronval (UCLouvain): LLMs and tabular data: zero-shot generation and synthetic data for fairness
• Martin Balfroid (UNamur): Towards LLM-generated code tours for onboarding
• Vincent Stragier (UMons): LLM-based interactive agents for visually impaired and blind individuals
• Christophe Crochet (UCLouvain): How LLM and prompt engineering can close the gap between formal verification and network protocol testing
• Lize Pirenne (ULiège): Context referencing citations for factuality improvement