CAV 2026 Publication
A formal verification method for certifying the robustness of Transformer models through tighter bounds for attention-related nonlinear operations.
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A formal verification method for certifying the robustness of Transformer models through tighter bounds for attention-related nonlinear operations.
A local graphical workspace for building auditable literature surveys, with multi-source discovery, deterministic filtering, optional AI-assisted recommendations, human review, citation snowballing, and final export.