Dissertation topics suggested by the teacher.
Recent dissertations supervised by the teacher.
First cycle degree programmes dissertations
- Legal Lay Summarization: Exploring Techniques and Introducing the LegalEase Dataset
- Agriveritas: Chatbot Generativo per il Supporto Normativo allo Sviluppo dell'Agricoltura Sostenibile
- Augmenting Large Language Models with Memory Using Mixture of Experts
- Automatizzare la Codifica Clinica con i Large Language Models: Un Approccio per Migliorare la Codifica ICD in Regimi Low-Resource
- Benchmarking e Prompt Tuning di Large Language Model per la Generazione di Codice
- Clip et Impera: Topic-Centric Video Segmentation with Large Language Models
- creazione di un dataset legislativo e
sperimentazione di llm open source nel question
answering giuridico italiano
- Diagnose Your Text: A Plausibility Estimation Model for Medical Statements
- Diverse and Sparse Query Embeddings for Retrieval Enhanced Multi-Document Question Answering
- Fine tuning per text summarization
- From Words to Codes: Large Language Models for ICD-9 Extraction in Clinical Documents
- Generative Information Retrieval of Chest X-Rays
- Graph neural network benchmark per la selezione di contenuto rilevante nella low-resource summarization
- Insegnare ai Large Language Models l'Arte del Ragionamento con l'Utilizzo e il Posizionamento dei Thinking Tokens
- 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
- Large Language Model per l’Analisi di Bilanci Aziendali: Sviluppo e Studio Comparativo tra Modelli Open Source e Proprietari
- Migliorare la Named Entity Recognition zero-shot attraverso l’utilizzo di descrizioni delle entità: un caso studio in dominio biomedico
- Mitigare l'Impatto dei Conflitti Normativi nei Sistemi di Question-Answering Legale con l'Utilizzo di Knowledge-Graph e Large Language Models
- Mixture of Masters: Merging Specialized Chess Language Models
- 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
- Tecniche di Machine Learning per la gestione e il monitoraggio delle emissioni odorigene negli allevamenti avicoli
- 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
- UniBot: A Retrieval-Augmented Conversational Agent for
the University of Bologna
- Valutazione dei Large Language Models nella Risoluzione dei Campionati Internazionali di Giochi Matematici
- Valutazione del Quoziente Intellettivo di Large Language
Model Multimodali
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
- End-to-End Extraction and Injection of Graphs: A Self-Supervised Neuro-Symbolic Method for Explainable Large Language Models
- End-to-End Vision Language Processing of Identity Documents: Detection, Classification and Extraction
- Explaining Generative Model for Long-form Question Answering with Reasoning Graph
- First-Order Logic Formulation and Injection into Large Language Models for Driven Question Answering
- From-Scratch Development of a Domain-Adaptive Mixture of Expert Language Model for Biomedical Named Entity Recognition
- 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
- Open-Domain Medical Question Answering with Graph-Enhanced Large Language Models
- 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
- The Pixel Piper: Guiding Diffusion Models with Attention-Based Predicate Logic for Feature Consistent Text-to-Image Generation
- Train an Agent to Evaluate your Models: a Dataset for Metric Function Call Built through Autonomous Trial and Error
PhD programmes thesis
- Advancing abstractive long-input summarization in low-resource regimes: methods, datasets and benchmarks
- Knowledge-enhanced natural language processing
- Novel language models and methods for semantic representation learning, self-supervised retrieval, and summarization
