most citedA Survey on Code Generation with LLM-based Agents

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

collaborators

3 papers

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…

cs.CL2025

Rethinking Repetition Problems of LLMs in Code Generation

Yihong Dong, Yuchen Liu, Xue Jiang +2

With the advent of neural language models, the performance of code generation has been significantly boosted. However, the problem of repetitions during the generation process cont…

cs.SE2025

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs

Yuqi Zhu, Ge Li, Xue Jiang +4

Chain-of-Thought (CoT) reasoning has been demonstrated as an effective technique for improving the problem-solving capabilities of large language models (LLMs) in the context of co…