33 citations · 127 across the 30 of their papers we have counts for
32 papers
FlowScout: From Execution Feedback to Reliable Tool-Using Agent Workflows
Shuo Hao, You Lu, Bihuan Chen +1
Agentic workflows have become an important abstraction for building reliable LLM-based automation systems by organizing large language models (LLMs), tools, and control logic into…
DOCSCHISEL: Adaptive Tool Documentation Optimization Framework for LLM Agents
You Lu, Kun Zhang, Bihuan Chen +1
Large language models (LLMs) increasingly rely on external tools to accomplish complex real-world tasks, making tool documentation a critical grounding resource for LLM agents. Exi…
SkillSentry: Reliable Skill Execution for LLM Agents via Runtime Assurance
You Lu, Xinyu Huang, Bihuan Chen +1
LLM agents are increasingly equipped with skills to perform complex tasks through multi-step reasoning and tool use. Although skills provide reusable procedural knowledge, agents m…
ProfMalPlus: Agent-Coordinated Detection of Malicious NPM Packages via Static-Dynamic Analysis Synergy
Yiheng Huang, Zhijia Zhao, Bihuan Chen +6
Open source software is vulnerable to supply-chain attacks through transitive dependencies, especially malicious code injected into NPM packages. Existing detectors often inadequat…
From Component Manipulation to System Compromise: Understanding and Detecting Malicious MCP Servers
Yiheng Huang, Zhijia Zhao, Bihuan Chen +5
The model context protocol (MCP) standardizes how LLMs connect to external tools and data sources, enabling faster integration but introducing new attack vectors. Despite the growi…
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code
Kaifeng He, Xiaojun Zhang, Peiliang Cai +7
Large language models (LLMs) frequently generate defective code, ranging from logical bugs to security vulnerabilities. Training-data quality is one contributor to these outcomes a…