Roberto Bifulco — accepted AI-conference papers

2025

What Did I Do Wrong? Quantifying LLMs’ Sensitivity and Consistency to Prompt Engineering

Federico Errica, Davide Sanvito, Giuseppe Siracusano, Roberto Bifulco

NAACL 2025long

Large Language Models (LLMs) changed the way we design and interact with software systems. Their ability to process and extract information from text has drastically improved productivity in a number of routine tasks. Developers that want to include these models in their software stack, however, fac…

Cited by 26 Source ↗PDF ↗code ↗Scholar ↗

2024

AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents

Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco +1

NAACL 2024system demonstrations

The advances made by Large Language Models (LLMs) have led to the pursuit of LLM agents that can solve intricate, multi-step reasoning tasks. As with any research pursuit, benchmarking and evaluation are key corner stones to efficient and reliable progress. However, existing benchmarks are often nar…

Cited by 15 Source ↗PDF ↗code ↗Scholar ↗