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Hua-Jin Cui

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#artificial intelligence Preprint Nov 2026

EMBERS: Empirically Motivated Robustness Testing of Deep Research Systems via Defect-Guided Fuzzing

This work proposes EMBERS, an empirically motivated, defect-guided fuzzing framework for robustness testing of DR systems, and generates stage-targeted test inputs using defect-guided mutation, web-search-assisted fidelity assurance, and diversity-aware seed maintenance.

Shuo-Chuan Li, Zan Wang, Dong Wang et al. · 0 citations

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