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20242026
most citedModels Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs

9 citations · 17 across the 18 of their papers we have counts for

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14 papers · 1 filter

cs.SE2026

When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents

Xinyi Hou, Shenao Wang, Yanjie Zhao +1

LLM agents increasingly rely on iterative execution to solve tasks through planning, tool use, state updates, and agent collaboration. While this design enables flexible automation…

cs.SE2026

AgentFlow: Building Agent Dependency Graphs for Static Analysis of Agent Programs

Shenao Wang, Xinyi Hou, Yanjie Zhao +2

LLM agents are increasingly developed as source-code applications built on agent frameworks. These agent programs combine conventional host-language code with framework-defined sem…

cs.SE2026

Unsafe by Flow: Uncovering Bidirectional Data-Flow Risks in MCP Ecosystem

Xinyi Hou, Yanjie Zhao, Haoyu Wang

Model Context Protocol (MCP) have quickly become the interface layer between LLM agents and external tools, yet they also introduce unsafe data flows that existing analyzers handle…

cs.SE2026

CommitSuite: A Comprehensive Benchmark for Commit Classification and Message Generation

Zirui Wan, Zhaonan Wu, Xinyi Hou +3

High-quality commit messages are critical for maintaining software projects, yet ensuring their consistency and informativeness remains a practical challenge. While the Conventiona…

cs.SE2025

LaQual: An Automated Framework for LLM App Quality Evaluation

Yan Wang, Xinyi Hou, Junjun Si +3

Representing a new paradigm in software distribution, LLM app stores are rapidly emerging, offering users diverse choices for content generation, coding assistance, education, and…

cs.SE2025

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead

Hongzhou Rao, Yanjie Zhao, Xinyi Hou +2

The rapid advancement of large language models (LLMs) has redefined artificial intelligence (AI), pushing the boundaries of AI research and enabling unbounded possibilities for bot…