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20222026
most citedSecurity of Language Models for Code: A Systematic Literature Review

5 citations · 16 across the 10 of their papers we have counts for

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cs.SE2026

Standards-Guided and Dependency-Aware Code-Level Documentation Generation

Tingxu Han, Wei Song, Ziming Li +6

Automatically generating high-quality documentation for software repositories remains challenging: existing approaches largely treat documentation as unconstrained text generation,…

cs.SE2026

Enhancing and Reporting Robustness Boundary of Neural Code Models for Intelligent Code Understanding

Tingxu Han, Wei Song, Weisong Sun +6

With the development of deep learning, Neural Code Models (NCMs) such as CodeBERT and CodeLlama are widely used for code understanding tasks, including defect detection and code cl…

cs.SE2026

SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?

Tingxu Han, Yi Zhang, Wei Song +4

Agent skills, structured procedural knowledge packages injected at inference time, are increasingly used to augment LLM agents on software engineering tasks. However, their real ut…

cs.SE2024★ 5 cited

Security of Language Models for Code: A Systematic Literature Review

Yuchen Chen, Weisong Sun, Chunrong Fang +7

Language models for code (CodeLMs) have emerged as powerful tools for code-related tasks, outperforming traditional methods and standard machine learning approaches. However, these…

cs.SE2022★ 4 cited

An Extractive-and-Abstractive Framework for Source Code Summarization

Weisong Sun, Chunrong Fang, Yuchen Chen +6

(Source) Code summarization aims to automatically generate summaries/comments for a given code snippet in the form of natural language. Such summaries play a key role in helping de…