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

9 March 2024

Arman Cohan

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

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Title
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation Yan Meng Di Wu Christof Monz 26 1 0 02 Jul 2024
Training Dynamics for Text Summarization Models Tanya Goyal Jiacheng Xu J. Li Greg Durrett 57 28 0 15 Oct 2021
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization Mengyao Cao Yue Dong Jackie C.K. Cheung HILM 170 144 0 30 Aug 2021