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This article presents a fully static, whole-program binary lifting system requiring no runtime translation support on the target, and implements this approach as a prototype binary recompiler from x86-64 binaries to LLVM IR, requiring no code/data heuristics.
PriorityNet achieves near-optimal Nash social welfare while guaranteeing envy-freeness, outperforming traditional allocation methods by over 27% in competitive scenarios.
Uncovering unified psychological structures, JAM achieves superior personality recognition without the constraints of predefined taxonomies, revolutionizing how we infer psychological profiles from text.