1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SE2025
Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness
Scott Blyth, Sherlock A. Licorish, Christoph Treude +1
Large language models (LLMs) have demonstrated impressive capabilities in code generation, achieving high scores on benchmarks such as HumanEval and MBPP. However, these benchmarks…
cs.SE2024★ 1 cited
Creative and Correct: Requesting Diverse Code Solutions from AI Foundation Models
Scott Blyth, Markus Wagner, Christoph Treude
AI foundation models have the capability to produce a wide array of responses to a single prompt, a feature that is highly beneficial in software engineering to generate diverse co…