A non-adequate psychophysical condition represents a major factor in causing car accidents. In particular, 20% of car crashes are caused by mental fatigue and drowsi- ness, with dramatic consequences and fatalities. Nowadays strategies to reduce the risks while driving. The on-board systems...
04b Atto di convegno in volume
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Teamwork efficiency and safety are inextricably linked. The capability of having online insights and access to objective information regarding cognitive and emotional aspects of the team members using neurophysiological measures (brain activity, skin conductance, heart rate) will endow a tool which...
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Recently, Artificial intelligence (AI) algorithms have received increasable interest in various application domains including in Air Transportation Management (ATM). Different AI in particular Machine Learning (ML) algorithms are used to provide decision support in autonomous decision-making tasks...
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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, demonstrating that obtaining a fine-tuned conversational bot with a single GPU is possible. In addition, we release a...
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Search Engines represents an important application of Information Retrieval. In particular, a major branch of Search Engines is devoted to web search. In this document we summarize our work to produce a submission for the CLEF LongEval initiative [1], primarily concerning web search. The described...
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Two of the most impressive features of biological neural networks are their high energy efficiency and their ability to continuously adapt to varying inputs. On the contrary, the amount of power required to train top-performing deep learning models rises as they become more complex. This is the...
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This paper presents the problem statement and the research approach on an Italian project in the field of e-justice. We present the motivation and methodology for the application of an automatic writing assistant pipeline to Italian civil cases. The proposed solution is based on fine-tuning a...
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Starting from last year, WMT human evaluation has been performed within the Multidimensional Quality Metrics (MQM) framework, where human annotators are asked to identify error spans in translations, alongside an error category and a severity. In this paper, we describe our submission to the WMT...
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One of the common traits of past and present approaches for Semantic Role Labeling (SRL) is that they rely upon discrete labels drawn from a predefined linguistic inventory to classify predicate senses and their arguments.However, we argue this need not be the case. In this paper, we present an...
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Optimization problems often involve vector norms, which has led to extensive research on developing algorithms that can handle objectives beyond the ℓp norms. Our work introduces the concept of submodular norms, which are a versatile type of norms that possess marginal properties similar to...