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bart-large-cnn

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I am using this model to summarize news articles. It works great most of the time. But it tends to hallucinate information quite a bit. How do I solve that issue?
Will fine-tuning with more data help?

or adjusting the parameters like
num_beams
temperature
top_k
top_p
repetition_penalty