7 citations · 16 across the 6 of their papers we have counts for
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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★ 2 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…