1 citations · 1 across the 6 of their papers we have counts for
8 papers
SolBehave: Evaluating the Behavioural Correctness of LLM-Generated Smart Contracts
Giovanni Pio Delvecchio, Stefano Fantazzini, Giacomo Frisoni +4
Large language models increasingly generate Solidity smart contracts that, once deployed, can never be patched, making a single latent fault permanent and exploitable. Yet current…
Self-Play Search Distillation for Large Language Model Reasoning
Lorenzo Molfetta, Wai-Chung Kwan, Giacomo Frisoni +5
Improving reasoning abilities in Large Language Models (LLMs) requires high-quality data that exposes difficult decisions, competing alternatives, and their consequences. Data scar…
PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models
Lorenzo Molfetta, Giacomo Frisoni, Nicolò Monaldini +1
Integrating external tools with Large Language Models (LLMs) has emerged as a promising paradigm for accomplishing complex tasks. Since LLMs still struggle to effectively manage la…
Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting
Giacomo Frisoni, Lorenzo Molfetta, Mattia Buzzoni +1
Recent advances in training-free visual prompting, such as Set-of-Mark, have emerged as a promising direction for enhancing the grounding capabilities of multimodal language models…
FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System
Lorenzo Molfetta, Alessio Cocchieri, Stefano Fantazzini +3
Hierarchical text classification (HTC) and extreme multi-label classification (XML) tasks face compounded challenges from complex label interdependencies, data sparsity, and extrem…
Mixture of Masters: Sparse Chess Language Models with Player Routing
Giacomo Frisoni, Lorenzo Molfetta, Davide Freddi +1
Modern chess language models are dense transformers trained on millions of games played by thousands of high-rated individuals. However, these monolithic networks tend to collapse…
KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval
Zihan Wang, Jinyuan Fang, Giacomo Frisoni +4
Pretrained language models (PLMs) like BERT and GPT-4 have become the foundation for modern information retrieval (IR) systems. However, existing PLM-based IR models primarily rely…
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
Giacomo Frisoni, Alessio Cocchieri, Alex Presepi +2
Medical open-domain question answering demands substantial access to specialized knowledge. Recent efforts have sought to decouple knowledge from model parameters, counteracting ar…