Foto del docente

Gianluca Moro

Associate Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Teaching

Recent dissertations supervised by the teacher.

First cycle degree programmes dissertations

  • Annotazione automatica di token rilevanti per dialog summarization astrattiva
  • Applicazione di Graph Neural Network nella Multi-Document Summarization con risorse limitate
  • 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
  • generazione di riassunti fattuali mediante parsing semantico
  • Graph neural network benchmark per la selezione di contenuto rilevante nella low-resource summarization
  • Information Retrieval Biomedicale con Testo Arricchito Mediante Knowledge Graph Clinico
  • Large Language Model per Dataset Giuridici Italiani: Esperimenti con Prompting, Retrieval-Augmented Generation e Fine-Tuning
  • LAWSU-IT: Un Nuovo Dataset Giudiziario italiano per Long Document Summarization con Baseline Estrattive e Astrattive
  • Modelli di previsione e analisi di Serie temporali nella movimentazione delle attrezzature di trasporto delle merci
  • reinforcement learning on emerging referential communication in atari games
  • scilay: un nuovo dataset per long document summarization scientifici e divulgativi di studi biomedici
  • Self-supervised Information Retrieval basato su deep metric learning
  • Studio e sperimentazione di algoritmi di raccomandazione per l'editoria
  • Studio e sperimentazione di approcci neurali predittivi per il mercato azionario.
  • studio ed ottimizzazione di un sistema di recommendation per corpora di documenti
  • Survey on Few-Shot Summarization
  • Sviluppo di Metodi di Soft Labeling per la Multi-Document Summarization in Ambito Legale
  • Sviluppo di Retrieval-based Chatbot per l'Italiano con Transformer
  • Text Expansion con Language Model Generativo con e senza Knowledge Graph Injection
  • 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
  • Vision-Language Transformer: Retrieval ed Explainability in ambito Biomedico

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
  • Graph-based Vision-Language Model for Multi-Modal Retrieval of Fashion Products
  • 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
  • Novel Text-to-Text Retrieval-Enhanced Transformer for Biomedical Literature
  • 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