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20212026
most citedStudy on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image

57 citations · 90 across the 14 of their papers we have counts for

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8 papers · 1 filter

cs.CL2026

Wiki-Talkie: Multilingual Benchmarking of Persona-Based Agents on Real-World Discussions

Dennis Fucci, Andrea Bacciu, Dong Liu +2

LLMs are increasingly deployed as autonomous agents in social environments, making it critical to study their ability to faithfully simulate human interactions. Central to this is…

cs.CL2026

QUORUM: QUality-Optimized Routing Using Multiple annotators

Antonio Purificato, Maria Sofia Bucarelli, Andrea Bacciu +2

Data annotation remains a central bottleneck in natural language processing, requiring human effort to obtain high-quality labels at scale. While Large Language Models (LLMs) offer…

cs.CL2026

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs

Andrea Alfarano, Andrea Bacciu, Saab Mansour +2

Uncertainty estimation (UE) enables LLM-powered systems to recognize when to abstain, yet existing research has predominantly focused on English. We present the first large-scale e…

cs.CL2026

Select, Label, Evaluate: Active Testing in NLP

Antonio Purificato, Maria Sofia Bucarelli, Andrea Bacciu +2

Human annotation cost and time remain significant bottlenecks in Natural Language Processing (NLP), with test data annotation being particularly expensive due to the stringent requ…

cs.CL2025★ 1 cited

Monte Carlo Temperature: a robust sampling strategy for LLM's uncertainty quantification methods

Nicola Cecere, Andrea Bacciu, Ignacio Fernández Tobías +1

Uncertainty quantification (UQ) in Large Language Models (LLMs) is essential for their safe and reliable deployment, particularly in critical applications where incorrect outputs c…

cs.CL2024

Handling Ontology Gaps in Semantic Parsing

Andrea Bacciu, Marco Damonte, Marco Basaldella +1

The majority of Neural Semantic Parsing (NSP) models are developed with the assumption that there are no concepts outside the ones such models can represent with their target symbo…

cs.CL2023★ 2 cited

RRAML: Reinforced Retrieval Augmented Machine Learning

Andrea Bacciu, Florin Cuconasu, Federico Siciliano +3

The emergence of large language models (LLMs) has revolutionized machine learning and related fields, showcasing remarkable abilities in comprehending, generating, and manipulating…

cs.CL2023

Fauno: The Italian Large Language Model that will leave you senza parole!

Andrea Bacciu, Giovanni Trappolini, Andrea Santilli +2

This paper presents Fauno, the first and largest open-source Italian conversational Large Language Model (LLM). Our goal with Fauno is to democratize the study of LLMs in Italian,…