activity
20222026
most citedLLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning

4 citations · 8 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2026★ 1 cited

SQL-Commenter: Aligning Large Language Models for SQL Comment Generation with Direct Preference Optimization

Lei Yu, Peng Wang, Jingyuan Zhang +6

SQL query comprehension is a significant challenge due to complex syntax, diverse join types, and deep nesting. Many queries lack adequate comments, severely hindering code readabi…

cs.CR2025

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection

Lei Yu, Shiqi Cheng, Zhirong Huang +6

With the increasing security issues in blockchain, smart contract vulnerability detection has become a research focus. Existing vulnerability detection methods have their limitatio…

cs.CR2025

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection

Lei Yu, Zhirong Huang, Hang Yuan +8

Smart contract vulnerability detection remains a major challenge in blockchain security. Existing vulnerability detection methods face two main issues: (1) Existing datasets lack c…

cs.SE2025

Towards Practical Defect-Focused Automated Code Review

Junyi Lu, Lili Jiang, Xiaojia Li +4

The complexity of code reviews has driven efforts to automate review comments, but prior approaches oversimplify this task by treating it as snippet-level code-to-text generation a…

cs.SE2023★ 4 cited

LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning

Junyi Lu, Lei Yu, Xiaojia Li +2

The automation of code review activities, a long-standing pursuit in software engineering, has been primarily addressed by numerous domain-specific pre-trained models. Despite thei…

cs.SE2023

Automating Method Naming with Context-Aware Prompt-Tuning

Jie Zhu, Lingwei Li, Li Yang +2

Method names are crucial to program comprehension and maintenance. Recently, many approaches have been proposed to automatically recommend method names and detect inconsistent name…

cs.SE2022★ 1 cited

AUGER: Automatically Generating Review Comments with Pre-training Models

Lingwei Li, Li Yang, Huaxi Jiang +5

Code review is one of the best practices as a powerful safeguard for software quality. In practice, senior or highly skilled reviewers inspect source code and provide constructive…

cs.SE2022★ 2 cited

DeepRelease: Language-agnostic Release Notes Generation from Pull Requests of Open-source Software

Huaxi Jiang, Jie Zhu, Li Yang +2

The release note is an essential software artifact of open-source software that documents crucial information about changes, such as new features and bug fixes. With the help of re…