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Example-guided prompting boosts document-level simplification quality, outperforming traditional methods and revealing the nuanced interplay between retrieval and model capabilities.
GPT-generated summaries are preferred for their simplicity and comprehensibility, revealing the potential of LLMs to bridge the gap between complex scientific texts and non-specialist audiences.
