7 citations
- University of AucklandNZ3 papers
- Goethe University FrankfurtDE2 papers
- Aarhus UniversityDK1 paper
- Aaron Marcus and AssociatesUS1 paper
- Australian National UniversityAU1 paper
- Bhabha Atomic Research CentreIN1 paper
- Ca' Foscari University of VeniceIT1 paper
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES1 paper
- Charles UniversityCZ1 paper
- Chinese Academy of International Trade and Economic CooperationCN1 paper
- Collurania Teramo ObservatoryIT1 paper
- Consorzio Roma RicercheIT1 paper
Showing cs.SEShow all
3 papers · 1 filter
cs.SE2026★ 7 cited
LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops
Ravin Ravi, Dylan Bradshaw, Stefano Ruberto +2
Large Language Models (LLMs) are showing remarkable performance in generating source code, yet the generated code often has issues like compilation errors or incorrect code. Resear…
cs.SE2026★ 1 cited
LLMORPH: Automated Metamorphic Testing of Large Language Models
Steven Cho, Stefano Ruberto, Valerio Terragni
Automated testing is essential for evaluating and improving the reliability of Large Language Models (LLMs), yet the lack of automated oracles for verifying output correctness rema…
cs.SE2025★ 5 cited
Metamorphic Testing of Large Language Models for Natural Language Processing
Steven Cho, Stefano Ruberto, Valerio Terragni
Using large language models (LLMs) to perform natural language processing (NLP) tasks has become increasingly pervasive in recent times. The versatile nature of LLMs makes them app…