2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.SE2025
Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar
Yuanliang Zhang, Yifan Xie, Shanshan Li +11
Recently, large language models (LLMs) have shown strong potential in code generation tasks. However, there are still gaps before they can be fully applied in actual software devel…
cs.CL2023★ 2 cited
Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation
Yingwei Ma, Yue Yu, Shanshan Li +5
Large language models (LLMs) have showcased remarkable prowess in code generation. However, automated code generation is still challenging since it requires a high-level semantic m…