A research team is building a model designed specifically for summarizing long scientific articles into a few concise paragraphs. The model must be able to process the entire source article to understand its full context before generating the summary. Given this requirement for a sequence-to-sequence task, which architectural approach would be the most effective choice for the model's pre-training and fine-tuning?

Match each architectural approach for self-supervised pre-training with the category of tasks it is primarily designed to handle.

Evaluating Architectural Choices for a Chatbot