Kevin Roitero

PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare

Patient Information Leaflets (PILs) provide essential information about medication usage, side effects, precautions, and interactions, making them a valuable resource for Question …

riccardo-lunardi

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking

Assessing the truthfulness of information is a critical task in fact-checking, and is typically performed using binary or coarse ordinal scales (2-6 levels), though fine-grained …

kevin-roitero
AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews featured image

AIDME: A Scalable, Interpretable Framework for AI-Aided Scoping Reviews

Workshop Talk - Workshop “AI, Misinformation and Disinformation”, held as part of the 5th National CINI Conference on Artificial Intelligence (Ital-IA 2025). June 23, 2025, …

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Michael Soprano

Agent-Based Healthcare Chatbots for Regional System Services: A Case Study in the Friuli-Venezia Giulia Region

The scholarly publishing process relies on peer review to uphold the quality of scientific knowledge. However, challenges such as increasing submission volumes and potential …

riccardo-lunardi

Report on the Hands-On PhD Course on Responsible AI from the Lens of an Information Access Researcher

While the concept of responsible AI is becoming more and more popular, practitioners and researchers may often struggle to characterize responsible practices in their own work. …

damiano-spina

Report on the 14th Italian Information Retrieval Workshop (IIR 2024)

IIR 2024, the 14th Italian Information Retrieval Workshop, served as the annual event for the IR and RS communities both in Italy and collaborating with Italian research …

eddy-maddalena

Enhancing Fact-Checking: From Crowdsourced Validation to Integration with Large Language Models

Information retrieval effectiveness evaluation is often carried out by means of test collections. Many works investigated possible sources of bias in such an approach. We propose a …

kevin-roitero
Deploying Complex Crowdsourcing Tasks Without Fear: An Introduction to Crowd_Frame featured image

Deploying Complex Crowdsourcing Tasks Without Fear: An Introduction to Crowd_Frame

Demo Presentation - The 3rd Italian Conference on Big Data and Data Science (ITADATA 2024). September 17, 2024, Pisa, Italy.

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Michael Soprano

Crowdsourcing Statement Classification to Enhance Information Quality Prediction

This paper explores the use of crowdsourcing to classify statement types in film reviews to assess their information quality. Employing the Argument Type Identification Procedure …

jaspreet-singh

Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms

Crowdsourcing tasks have been widely used to collect a large number of human labels at scale. While some of these tasks are deployed by requesters and performed only once by crowd …

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Michael Soprano