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cs.CR2026
Mitigating Taint-Style Vulnerabilities in MCP Servers via Security-Aware Tool Descriptions
Yang Shi, Jiaheng Fu, Yihe Huang +3
Large language models (LLMs) are increasingly deployed as autonomous agents that interact with external tools and services via the Model Context Protocol (MCP), a standardized inte…
cs.SE2026
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…