实体
Penn Treebank
Penn Treebank
PulseAugur coverage of Penn Treebank — every cluster mentioning Penn Treebank across labs, papers, and developer communities, ranked by signal.
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能量门控注意力通过优先处理显著性token来增强Transformer模型
研究人员推出了一种名为能量门控注意力（EGA）的新型机制，旨在通过关注谱显著性token来改进Transformer模型。该方法借鉴了流体动力学的原理，优先处理信息密集且拥有不成比例谱能量的token。EGA在TinyShakespeare和Penn Treebank等数据集上实现了显著的验证损失改进，同时参数开销极小，计算成本也无额外增加。
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Researchers explore weight decay, in-context learning, and acceleration for Transformer models
Researchers have developed several new methods to improve the efficiency and theoretical understanding of Transformer models. One paper provides a functional-analytic characterization of weight decay, demonstrating its …