Root cause analysis (RCA) in microservice systems is challenging because observable symptoms often propagate along service dependencies and become separated from the actual underlying cause. Recent large language model (LLM)-based agent frameworks have shown promise for automating RCA, but existing methods still suffer...
Jun-Chi Kang, Xunhui Zhang, Yuanzhao Zhai et al.· Fall Joint Computer Conferen...· 0 citations
Traceability link recovery between requirements and source code is vital for software quality assurance and evolution analysis. Although automated traceability techniques have advanced greatly, the large semantic gap between vague natural-language requirements and precise source code still hinders accurate link recover...
Luoyuan Shi, Yuan-Zhao Zhai, Da-Wei Feng et al.· 0 citations
A novel benchmark for evaluating the task-solving capabilities of LLM agents under dynamic toolset evolution, and proposes 11 mutation operators to simulate realistic tool evolution within 123 MCP servers, establishing MCPEvol-Bench as a standard for evaluating agent adaptability in dynamic tool environments.
Huanxi Liu, Kun Hu, Jiaqi Liao et al.· 0 citations
ReFrame is a training-free multimodal input reframing framework where two agents share a lightweight locally deployed MLLM: the evidence-generation agent constructs complementary risk and utility evidence, and the rewrite-and-routing agent converts it into a safe proxy prompt and image-routing decision before calling t...
Wenzheng Jiang, Xuan-Kun Rong, Yuan-Zhao Zhai et al.· 0 citations
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