Foto del docente

Gianluca Moro

Associate Professor

Department of Computer Science and Engineering

Teaching

Recent dissertations supervised by the teacher.

First cycle degree programmes dissertations

  • Agriveritas: Chatbot Generativo per il Supporto Normativo allo Sviluppo dell'Agricoltura Sostenibile
  • Benchmarking e Prompt Tuning di Large Language Model per la Generazione di Codice
  • Clip et Impera: Topic-Centric Video Segmentation with Large Language Models
  • Diagnose Your Text: A Plausibility Estimation Model for Medical Statements
  • Fine tuning per text summarization
  • From Words to Codes: Large Language Models for ICD-9 Extraction in Clinical Documents
  • Graph neural network benchmark per la selezione di contenuto rilevante nella low-resource summarization
  • Large Action Models: End-to-End Retrieval-Enhanced Learning for Generating Function Calls from Instruction Manuals
  • Large Language Model per Dataset Giuridici Italiani: Esperimenti con Prompting, Retrieval-Augmented Generation e Fine-Tuning
  • ParlaMentis: Agente Conversazionale Retrieval-Enhanced per la Camera dei Deputati
  • reinforcement learning on emerging referential communication in atari games
  • scilay: un nuovo dataset per long document summarization scientifici e divulgativi di studi biomedici
  • Studio e sperimentazione di algoritmi di raccomandazione per l'editoria
  • studio ed ottimizzazione di un sistema di recommendation per corpora di documenti
  • Survey on Few-Shot Summarization
  • The Summary Imitation Game: Improving Abstractive Summarizers via Neural-Approximated Decoding Strategies
  • To Generate or to Retrieve: On the Effectiveness of Artificial Contexts for Biomedical Question Answering

Second cycle degree programmes dissertations

  • AMR Beam Search: Generating Faithful Summaries with Semantic Graph Representations
  • different approaches to structuring legal italian text using large language models
  • Explaining Generative Model for Long-form Question Answering with Reasoning Graph
  • Infusing Structured Medical Knowledge into Language Models: Graph Neural Prompting for Healthcare Question Answering
  • Knowledge-Enhanced Neural Models for Question Answering based on Retrieval
  • Multi-Domain Conversational Agents based on Semantic Parsing and Retrieval of External Knowledge
  • Neural Self-Supervised Information Retrieval: An Efficient and Effective Solution in Large Document Corpora
  • Next Pictogram Prediction via Vision-Language Modeling: Enhancing the Autistic Children Communication
  • Predicting Protein Functions With Ensemble Deep Learning and Protein Language Models
  • Retrieving and Incorporating External Knowledge into Compressed Large Language Models
  • Survey on Retrieval Enhanced Transformers applied to Biomedical domain