Transformer-based autoregressive (AR) methods have achieved appealing performance for varied sequence-to-sequence generation tasks, e.g., neural machine translation, summarization, and code generation, but suffer from low inference efficiency. To speed up the stage, many non-autoregressive (NAR) strategies been proposed in past few years. Among them, conditional masked language model (CMLM) is ...

In this paper, a new generation and a new information construction method for a modulated orthogonal sequence are suggested: the new generation method requires only integer sums and modular techniques. The autocorrelation and cross-correlation characteristics of the sequence are investigated via a new procedure. A modi"ed sequence also having orthogonality and satisfying the mathematical lower ...

bioinformatics, through the sequencing of the full genomes for many species, is increasingly relying on efficient global alignment tools exhibiting both high sensitivity and specificity. many computational algorithms have been applied for solving the sequence alignment problem. dynamic programming, statistical methods, approximation and heuristic algorithms are the most common methods applied t...

As can be seen in Figure 6.1, there is a stage called test development where it basically consists of three activities; test generation, fault simulation and design for testability implementation. Test generation is a method of generating an input sequence that can distinguish between good chip and defective chip when the input sequence (test sequence) is applied to the chip using a tester. Fau...

Software test-case generation is the process of identifying a set of test cases. It is necessary to generate the test sequence that satisfies the testing criteria. For solving this kind of difficult problem there were a lot of research works, which have been done in the past. The length of the test sequence plays an important role in software testing. The length of test sequence decides whether...

What knowledge do subjects acquire in sequence-learning experiments? How can they express that knowledge? In two sequence-learning experiments, we studied the acquisition of knowledge of complex probabilistic sequences. Using a novel experimental paradigm, we were able to compare reaction time and generation measures of sequence knowledge online. Hidden Markov models were introduced as a novel ...