1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SE2026
The Alignment Problem in Constrained Code Generation
Matteo Biagiola, Jahrim Gabriele Cesario, Luca Di Grazia +2
Large Language Models (LLMs) have demonstrated strong capabilities in code generation, but their outputs frequently contain syntax or type errors that result in compilation failure…
cs.CR2026★ 1 cited
AgentBound: Securing Execution Boundaries of AI Agents
Christoph Bühler, Matteo Biagiola, Luca Di Grazia +1
Large Language Models (LLMs) have evolved into AI agents that interact with external tools and environments to perform complex tasks. The Model Context Protocol (MCP) has become th…