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cs.SE2026
When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation
Jieming Zheng, Hao Guan, Yepang Liu
Large Language Models (LLMs) have become powerful tools for code generation, yet they remain prone to hallucinations$\unicode{x2013}$producing plausible but incorrect or fabricated…
cs.SE2025
Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches
Yicheng Tao, Yuante Li, Yao Qin +1
Recent advances in large language models (LLMs) have significantly improved automated code generation. While existing approaches have achieved strong performance at the function an…