When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation (opens in new tab)  🧠LLMs  Content type: Academic

Large Language Models (LLMs) have become powerful tools for code generation, yet they remain prone to hallucinations-producing plausible but incorrect or fabricated outputs. Among these, package hallucination, where an LLM suggests non-existent dependencies, poses an emerging security risk to the software supply chain. While previous studies focus on popular languages like Python or JavaScript, in this work we present the first large-scale empir...