3 papers
cs.SE2026
AdaT: Adaptive Test Transformations for Black-Box Boundary Testing of Conversational Agents
Liting Lin, Boxi Yu, Qinghua Xu +3
Conversational agents based on large language models (LLMs) must comply with policies. Each condition in a policy draws a boundary between user requests, and the agent must behave…
cs.SE2026
Mining Workflow Graphs for Black-Box Boundary Testing of Conversational LLM Agents
Liting Lin, Boxi Yu, Yuzhong Zhang +3
Conversational LLM agents can cause real-world harm when their internal workflows fail, such as completing a transaction without confirmation. Testing these state-dependent failure…
cs.CL2026
Retromorphic Testing with Hierarchical Verification for Hallucination Detection in RAG
Boxi Yu, Yuzhong Zhang, Liting Lin +2
Large language models can still hallucinate in retrieval-augmented generation (RAG), producing claims that are unsupported by or conflict with the retrieved context. Detecting such…