works on

From the 2 of 57 linked papers with an AI index.

activity
20242026
collaborators

57 papers

cs.SE2026

Software Engineering for and with GUI Agent

Shengcheng Yu, Yuchen Ling, Junyang Xing +3

GUI agents have advanced rapidly, producing a growing body of frameworks, benchmarks, and applications. However, this growth has outpaced the maturity of the field. GUI agents rema…

cs.CR2026

Breaking Customized LLMs for Coding: Automated Red Teaming for Instruction Backdoor Attacks

Yuchen Chen, Wei Cheng, Yuan Xiao +5

LLM customization platforms allow users to build task-specific models for code intelligence tasks by embedding instructions into system prompts, without modifying the underlying mo…

cs.SE2026

MultiFixer: A Coordinator-Proposer Based Multi-Agent Framework For Fixing Multi-Hunk Bugs

Haichuan Hu, Chunrong Fang, Ye Shang +5

The paper introduces MultiFixer, a multi-agent framework that uses a Coordinator‑Proposer architecture to coordinate large language model generated patches for fixing bugs that spa…

cs.CR2026

Insecure Coding Preferences in Long-Term Memory: Security Risks for LLM-based Code Generation

Yuchen Chen, Wei Cheng, Yuan Xiao +7

LLM-based systems increasingly incorporate long-term memory to improve cross-session continuity. However, once insecure coding preferences are stored, they may silently influence s…

cs.SE2026

Understanding before Naming! Enhancing LLM-based Method Name Prediction with Code Summarization

Wei Liu, Weisong Sun, Tingting Xu +4

The paper proposes SMNP, a method name prediction approach that first summarizes code and then refines the name using chain‑of‑thought reasoning, and shows that LLM‑based evaluator…

cs.SE2026

ReProAgent: Tool-Augmented Multi-Stage Agentic Generation of Bug Reproduction Tests from Issue Reports

Quanjun Zhang, Yi Zheng, Ye Shang +5

Reproduction tests help developers confirm reported issues and provide executable feedback for issue resolution, yet issue reports in open-source projects rarely include such tests…