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20232026
most citedMedical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding

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cs.CL2024

On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization

Lorenzo Jaime Yu Flores, Arman Cohan

Text summarization and simplification are among the most widely used applications of AI. However, models developed for such tasks are often prone to hallucination, which can result…