A research team has a language model that was pre-trained exclusively on text segments with a maximum length of 2,048 tokens. The team's goal is to adapt this model to accurately summarize legal documents that are frequently 5,000 tokens long, a task at which the model currently performs poorly. Given this specific goal, which of the following fine-tuning strategies is most likely to be effective?
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A research team has a language model that was pre-trained exclusively on text segments with a maximum length of 2,048 tokens. The team's goal is to adapt this model to accurately summarize legal documents that are frequently 5,000 tokens long, a task at which the model currently performs poorly. Given this specific goal, which of the following fine-tuning strategies is most likely to be effective?
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