P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models
P3Sum uses diffusion language models to preserve authorial perspective in news summarization, outperforming autoregressive baselines on perspective fidelity.
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P3Sum offers a novel diffusion-based framing for preserving authorial perspective in news summarization, though doubts linger over whether its gains stem from the diffusion objective or just added parameters, and whether its perspective metric truly captures…
Abstract
Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.