Beam Search 与Greedy Decoding不同的是,每次都会有k个预选的token,其中k值来自于Top k中的k值,假设k=2,那么搜索示例如下:在Decoder部分,输入了“我”,生成两个候选词“喜”、“爱”,假设生成这两个词的概率取对数后分别为-6和-7. 接下来“喜”生成两个候选词“欢”和“来”,同样假设生成这两个词的概率...
Paper tables with annotated results for A Stable and Effective Learning Strategy for Trainable Greedy Decoding
To minimize makespan in the food industry with release date constraints, Pourhejazy et al.34proposed two algorithms i.e. beam search method and a local search based-beam search method, and tested them on benchmark problems of Taillard, Vallada, and Reeves. The improved beam search algorithm fo...