5 citations · 6 across the 4 of their papers we have counts for
6 papers
Prompt Injection Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
Diego Gosmar, Deborah A. Dahl
Prompt injection remains a central obstacle to the safe deployment of large language models, particularly in multi-agent settings where intermediate outputs can propagate or amplif…
Agentic AI Sustainability Assessment for Supply Chain Document Insights
Diego Gosmar, Anna Chiara Pallotta, Giovanni Zenezini
This paper presents a comprehensive sustainability assessment framework for document intelligence within supply chain operations, centered on agentic artificial intelligence (AI).…
Sentinel Agents for Secure and Trustworthy Agentic AI in Multi-Agent Systems
Diego Gosmar, Deborah A. Dahl
This paper proposes a novel architectural framework aimed at enhancing security and reliability in multi-agent systems (MAS). A central component of this framework is a network of…
Prompt Injection Detection and Mitigation via AI Multi-Agent NLP Frameworks
Diego Gosmar, Deborah A. Dahl, Dario Gosmar
Prompt injection constitutes a significant challenge for generative AI systems by inducing unintended outputs. We introduce a multi-agent NLP framework specifically designed to add…
Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks
Diego Gosmar, Deborah A. Dahl
Hallucinations remain a significant challenge in current Generative AI models, undermining trust in AI systems and their reliability. This study investigates how orchestrating mult…
AI Multi-Agent Interoperability Extension for Managing Multiparty Conversations
Diego Gosmar, Deborah A. Dahl, Emmett Coin +1
This paper presents a novel extension to the existing Multi-Agent Interoperability specifications of the Open Voice Interoperability Initiative (originally also known as OVON from…