23 citations · 40 across the 9 of their papers we have counts for
9 papers
FAME: Fictional Actors for Multilingual Erasure
Claudio Savelli, Moreno La Quatra, Alkis Koudounas +1
LLMs trained on web-scale data raise concerns about privacy and the right to be forgotten. To address these issues, Machine Unlearning provides techniques to remove specific inform…
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding
Alkis Koudounas, Claudio Savelli, Flavio Giobergia +1
Machine unlearning, the process of efficiently removing specific information from machine learning models, is a growing area of interest for responsible AI. However, few studies ha…
A Synthetic Benchmark to Explore Limitations of Localized Drift Detections
Flavio Giobergia, Eliana Pastor, Luca de Alfaro +1
Concept drift is a common phenomenon in data streams where the statistical properties of the target variable change over time. Traditionally, drift is assumed to occur globally, af…
Detecting Interpretable Subgroup Drifts
Flavio Giobergia, Eliana Pastor, Luca de Alfaro +1
The ability to detect and adapt to changes in data distributions is crucial to maintain the accuracy and reliability of machine learning models. Detection is generally approached b…
A Contrastive Learning Approach to Mitigate Bias in Speech Models
Alkis Koudounas, Flavio Giobergia, Eliana Pastor +1
Speech models may be affected by performance imbalance in different population subgroups, raising concerns about fair treatment across these groups. Prior attempts to mitigate unfa…
A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data
Eleonora Poeta, Flavio Giobergia, Eliana Pastor +2
Kolmogorov-Arnold Networks (KANs) have very recently been introduced into the world of machine learning, quickly capturing the attention of the entire community. However, KANs have…
Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models
Alkis Koudounas, Flavio Giobergia
The Fearless Steps APOLLO Community Resource provides unparalleled opportunities to explore the potential of multi-speaker team communications from NASA Apollo missions. This study…
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection
Federico Borra, Claudio Savelli, Giacomo Rosso +2
In Natural Language Generation (NLG), contemporary Large Language Models (LLMs) face several challenges, such as generating fluent yet inaccurate outputs and reliance on fluency-ce…
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning
Flavio Giobergia, Alkis Koudounas, Elena Baralis
Exploring exoplanets has transformed our understanding of the universe by revealing many planetary systems that defy our current understanding. To study their atmospheres, spectros…