P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language Models

16 November 2023

Papers citing "P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language Models"

8 / 8 papers shown

Title
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling Vidhisha Balachandran Hannaneh Hajishirzi William W. Cohen Yulia Tsvetkov HILM KELM 79 45 0 22 Oct 2022
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey Sachin Kumar Vidhisha Balachandran Lucille Njoo Antonios Anastasopoulos Yulia Tsvetkov ELM 61 84 0 14 Oct 2022
NEWTS: A Corpus for News Topic-Focused Summarization Seyed Ali Bahrainian Sheridan Feucht Carsten Eickhoff 61 24 0 31 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 166 768 0 27 May 2022
End-to-End Segmentation-based News Summarization Yang Liu Chenguang Zhu Michael Zeng VLM 20 26 0 15 Oct 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 215 305 0 27 Apr 2021
CTRLsum: Towards Generic Controllable Text Summarization Junxian He Wojciech Kry'sciñski Bryan McCann Nazneen Rajani Caiming Xiong 211 138 0 08 Dec 2020
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 248 1,417 0 22 Aug 2019