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Competing ferromagnetic and antiferromagnetic interactions in NiRuMnGa drive magnetic frustration and stabilize a cluster glass state, rather than conventional long-range order.
Transferring latent group priors across cohorts eliminates the standard bandit cold-start penalty while actively preventing the premature catalog exhaustion that plagues real-world deployments.
CORAL automates the continual optimization of recommender systems, achieving improved user engagement and reduced costs without human intervention.
Few-shot prompting boosts syntactic quality of LLM-generated model transformation languages, but semantic correctness remains a challenge.
