activity
20212025
most citedAt Which Training Stage Does Code Data Help LLMs Reasoning?

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2025

Who is in Charge here? Understanding How Runtime Configuration Affects Software along with Variables&Constants

Chaopeng Luo, Yuanliang Zhang, Haochen He +5

Runtime misconfiguration can lead to software performance degradation and even cause failure. Developers typically perform sanity checks during the configuration parsing stage to p…

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…

cs.CL2023★ 3 cited

At Which Training Stage Does Code Data Help LLMs Reasoning?

Yingwei Ma, Yue Liu, Yue Yu +4

Large Language Models (LLMs) have exhibited remarkable reasoning capabilities and become the foundation of language technologies. Inspired by the great success of code data in trai…

cs.SE2021★ 1 cited

Clone-based code method usage pattern mining

Zhipeng Xue, Yuanliang Zhang, Rulin Xu

When programmers retrieve a code method and want to reuse it, they need to understand the usage patterns of the retrieved method. However, it is difficult to obtain usage informati…

cs.SE2021

ConfInLog: Leveraging Software Logs to Infer Configuration Constraints

Shulin Zhou, Xiaodong Liu, Shanshan Li +5

Misconfigurations have become the dominant causes of software failures in recent years, drawing tremendous attention for their increasing prevalence and severity. Configuration con…

cs.SE2021

An Evolutionary Study of Configuration Design and Implementation in Cloud Systems

Yuanliang Zhang, Haochen He, Owolabi Legunsen +3

Many techniques were proposed for detecting software misconfigurations in cloud systems and for diagnosing unintended behavior caused by such misconfigurations. Detection and diagn…