6 citations · 10 across the 7 of their papers we have counts for
8 papers
ClinAgent: A ReAct-Based Agent for Conversational Access to Clinical Trial Information
Antonino Vaccarella, Riccardo Cantini, Domenico Talia +4
Querying clinical trial registries remains a manual and error-prone process, requiring researchers to navigate large volumes of semi-structured data without support for natural lan…
Explainable Detection of Depression Status Shifts from User Digital Traces
Loris Belcastro, Francesco Gervino, Fabrizio Marozzo +2
Every day, users generate digital traces (e.g., social media posts, chats, and online interactions) that are inherently timestamped and may reflect aspects of their mental state. T…
RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answering
Gaia A. Bertolino, Yuwei Zhang, Tong Xia +2
Conversational generative AI is increasingly explored in healthcare, where models must integrate heterogeneous patient signals and support diverse interaction styles while producin…
Is Reasoning All You Need? Probing Bias in the Age of Reasoning Language Models
Riccardo Cantini, Nicola Gabriele, Alessio Orsino +1
Reasoning Language Models (RLMs) have gained traction for their ability to perform complex, multi-step reasoning tasks through mechanisms such as Chain-of-Thought (CoT) prompting o…
Navigating the Edge-Cloud Continuum: A State-of-Practice Survey
Loris Belcastro, Fabrizio Marozzo, Alessio Orsino +2
The edge-cloud continuum has emerged as a transformative paradigm that meets the growing demand for low-latency, scalable, end-to-end service delivery by integrating decentralized…
Dynamic hashtag recommendation in social media with trend shift detection and adaptation
Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino +2
Hashtag recommendation systems have emerged as a key tool for automatically suggesting relevant hashtags and enhancing content categorization and search. However, existing static m…
Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge
Riccardo Cantini, Alessio Orsino, Massimo Ruggiero +1
The growing integration of Large Language Models (LLMs) into critical societal domains has raised concerns about embedded biases that can perpetuate stereotypes and undermine fairn…
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation
Riccardo Cantini, Giada Cosenza, Alessio Orsino +1
Large Language Models (LLMs) have revolutionized artificial intelligence, demonstrating remarkable computational power and linguistic capabilities. However, these models are inhere…