Advanced Topics in NLP

This seminar-based course explores advanced topics in NLP. At the start of the semester, selected topics and a list of research papers for each of these will be shared with the students. Students provide the lecturer with a list of preferences for topics and papers that can also include papers of their own choice. After that, the lecturer determines the assignment for each student. Each student is expected to present one paper. All students will be responsible for reading each paper and contributing to the discussion of the paper's merits and weaknesses from different perspectives.  Example topics that were chosen in this course previously covered LLM applications using RAG, Summarization, Reasoning, LLM Reliability and Safety Assessment, Multilingual NLP, LLMs Fundamentals and Architectural Variations. The course also features invited lectures by specialists in the field.

The main aim of this course is to give students a deeper understanding on a range of advanced topics in Natural Language Processing (NLP). By means of giving presentations and reading and discussing scientific works, students learn, in addition, to critically assess previous works, propose extensions of current methods, and identify avenues for future research.

• Salute e benessere
• Istruzione di qualità
• Uguaglianza di genere
• Lavoro dignitoso e crescita economica
• Consumo e produzione responsabili

In presenza

Learning methods include reading research papers, listening to presentations, taking part in discussions, and giving presentations.

Students will be assessed based on the quality of their presentation, the depth of their knowledge regarding the topic of the presentation, their handling of questions, their participation in discussions related to topics presented by other students.