12 papers
Too much evidence, too little time: From text to actionable recommendations through multi-objective evidence reasoning
Adela Bara, Simona-Vasilica Oprea
Evidence-based clinical decision making requires specialists to identify, evaluate and synthesize relevant scientific literature. However, PubMed searches for complex clinical case…
AttackPathGNN: Cross-function vulnerability detection in smart contracts using state interference graphs and conjunction pooling
Gabriela Dobrita, Simona-Vasilica Oprea, Adela Bara
Existing learning-based detectors for Solidity smart-contracts reduce vulnerability detection to syntactic pattern matching within single functions, yet many of the most consequent…
Code2UML: Agentic LLMs with context engineering for scalable software visualization
Alin-Gabriel VÄduva, Anca-Ioana Andreescu, Simona-Vasilica Oprea +1
Large Language Model (LLM)-based code analysis tools are adopted to automate software documentation tasks. However, the scalability of these approaches to real codebases, where Int…
CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing
Gabriela Dobrita, Simona-Vasilica Oprea, Adela Bara
Smart-contract exploits have caused billions of USD in cumulative losses, yet audits remain expensive and slow. Automated tools have emerged to close this gap, but each class has a…
Think it, Run it: Autonomous ML pipeline generation via self-healing multi-agent AI
Adela Bara, Gabriela Dobrita, Simona-Vasilica Oprea
The purpose of our paper is to develop a unified multi-agent architecture that automates end-to-end machine learning (ML) pipeline generation from datasets and natural-language (NL…
AI-Augmented Bibliometric Framework: A Paradigm Shift with Agentic AI for Dynamic, Snippet-Based Research Analysis
Adela Bara, Simona-Vasilica Oprea
Our paper introduces a generative, multiagent AI framework designed to overcome the rigidity, limited flexibility and technical barriers of current bibliometric tools. The objectiv…