activity
20232026
most citedCodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model

18 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026★ 1 cited

POSTCONDBENCH: Benchmarking Correctness and Completeness in Formal Postcondition Inference

Gehao Zhang, Juan Zhai

Formal postconditions precisely characterize program behavior and support debugging, testing, and verification, but writing them requires substantial expertise and effort. This has…

cs.SE2025

Breaking the Myth: Can Small Models Infer Postconditions Too?

Gehao Zhang, Zhenting Wang, Juan Zhai

Formal specifications are essential for ensuring software correctness, yet manually writing them is tedious and error-prone. Large Language Models (LLMs) have shown promise in gene…

cs.CR2025

Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice

Gehao Zhang, Mingzhe Li, Eugene Bagdasarian +2

Large language models (LLMs) are increasingly used for code generation, making reliable identification of machine-generated code important for attribution, tracking, and misuse det…

cs.CV2025

EDITOR: Effective and Interpretable Prompt Inversion for Text-to-Image Diffusion Models

Mingzhe Li, Kejing Xia, Gehao Zhang +5

Text-to-image generation models~(e.g., Stable Diffusion) have achieved significant advancements, enabling the creation of high-quality and realistic images based on textual descrip…

cs.SE2024

FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models

Chuyang Xu, Zhongxin Liu, Xiaoxue Ren +3

Due to the impressive code comprehension ability of Large Language Models (LLMs), a few studies have proposed to leverage LLMs to locate bugs, i.e., LLM-based FL, and demonstrated…

cs.SE2024★ 4 cited

REPOFUSE: Repository-Level Code Completion with Fused Dual Context

Ming Liang, Xiaoheng Xie, Gehao Zhang +6

The success of language models in code assistance has spurred the proposal of repository-level code completion as a means to enhance prediction accuracy, utilizing the context from…

cs.SE2023★ 18 cited

CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model

Peng Di, Jianguo Li, Hang Yu +35

Code Large Language Models (Code LLMs) have gained significant attention in the industry due to their wide applications in the full lifecycle of software engineering. However, the…