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Pre-trained Softmax ViTs can directly bootstrap linear-attention models without expensive pre-training from scratch: simply copy the operator-agnostic MLP weights and distill the attention routing behavior.
TreeCredit redefines credit assignment in multi-agent reasoning, leading to better accuracy and lower inference costs through innovative state-matched comparisons.
SUDFinder uncovers 98 hidden UI display bugs in Android apps, showcasing a significant gap in current testing methodologies.