works on

From the 1 of 25 linked papers with an AI index.

activity
20242026
collaborators

25 papers

cs.SE2026

When Models Meet Users: An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face

Yujian Liu, Xiao Yu, Jacky Keung +3

The paper empirically examines user discussions on Hugging Face to understand how people perceive general-purpose and multimodal large language models, identifying key concerns suc…

cs.SE2026

Mitigating Package Hallucinations in Large Language Models via Model Editing

Shuhan Liu, Yukai Zhao, Xing Hu +3

Large language models (LLMs) have demonstrated strong capabilities in software engineering tasks, such as code generation, library recommendation, and dependency configuration. How…

cs.SE2026

IntentTester: Intent-Driven Multi-agent Framework for Cross-Library Test Migration

Yi Gao, Ziyuan Zhang, Xing Hu +2

Unit tests capture both functional checks and domain-specific knowledge, but this knowledge remains locked within individual projects and is rarely reused across libraries with ove…

cs.SE2026

GUIMigrator: Semantics-Preserving Transpilation from Android XML to Compose and SwiftUI

Yi Gao, Xing Hu, Xin Xia +1

Constructing user interfaces (UIs) is one of the most resource-intensive tasks in mobile development, often consuming more than half of overall effort. Although declarative framewo…

cs.SE2026

QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization

Changxin Ke, Rui Zhang, Jiaming Guo +10

Large Language Models (LLMs) achieve strong program repair performance but often suffer from over-editing, where excessive modifications overwrite correct code and hinder bug local…

cs.SE2026

Every Maintenance Has Its Exemplar: The Future of Software Maintenance through Migration

Zirui Chen, Xing Hu, Xin Xia +1

Maintenance is a critical stage in the software lifecycle, ensuring that post-release systems remain reliable, efficient, and adaptable. However, manual software maintenance is lab…