A matched-pair protocol and Accurate Differentiation Rate metric reveal that conventional LLM accuracy on SAT problems is often inflated by over-predicting satisfiability, while cross-representation agreement exceeds 80 percent for most models.
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Bridge reduces All-to-All completion time by typically 3x to 10x and improves AllReduce by up to 6.6x over Ring by reusing optical subrings across multiple steps in reconfigurable networks.
RNG deploys the first production flat datacenter network using quasi-random graphs, a new distributed routing protocol, and a passive optical cabling shuffle device, achieving fat-tree performance at substantially lower cost.
A greedy max-weight decomposition strategy for MoE all-to-all communication on photonic fabrics improves overlap efficiency and reduces compute overheads compared to BvN by bounding the number of matchings.
ReTri achieves all-to-all in ⌈log₃ n⌉ phases for ORNs by co-designing bidirectional exchanges and reconfiguration strategy, with simulations showing up to 10× improvement over static and 2.1× over prior reconfigurable Bruck.
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