most citedA Survey on Code Generation with LLM-based Agents

2 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing cs.SEShow all

2 papers · 1 filter

cs.SE2025

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment

Xue Jiang, Yihong Dong, Mengyang Liu +10

While Large Language Models (LLMs) excel at code generation by learning from vast code corpora, a fundamental semantic gap remains between their training on textual patterns and th…

cs.SE2025★ 2 cited

A Survey on Code Generation with LLM-based Agents

Yihong Dong, Xue Jiang, Jiaru Qian +4

Code generation agents powered by large language models (LLMs) are revolutionizing the software development paradigm. Distinct from previous code generation techniques, code genera…