Reproduce “RiskyPy: Toward Model-Calibrated Prompt Generation for Joint Security and Functionality Evaluation of LLM-Generated Code” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Zacharie Chenail-Larcher, Daniele Lunghi, Melissa Tessa, Quentin Stiévenart, Jacques Klein, Tegawendé F. Bissyandé, Florent Avellaneda, Naouel Moha
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.