A team is deploying a large text-processing model for summarizing lengthy articles. To manage high computational costs, they implement a strategy where the model dynamically identifies and skips processing on tokens that are determined to be less important for the task. This effectively shortens the sequence length that the model's attention mechanism has to handle for each article. What is the primary computational advantage of this specific technique?