Identifying Factual Inconsistencies in Summaries: Grounding Model Inference via Task Taxonomy

20 February 2024

Papers citing "Identifying Factual Inconsistencies in Summaries: Grounding Model Inference via Task Taxonomy"

5 / 5 papers shown

Title
How Far are We from Robust Long Abstractive Summarization? Huan Yee Koh Jiaxin Ju He Zhang Ming Liu Shirui Pan HILM 23 39 0 30 Oct 2022
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way Alex Jinpeng Wang Richard Yuanzhe Pang Angelica Chen Jason Phang Samuel R. Bowman 72 44 0 23 May 2022
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
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
Entity-level Factual Consistency of Abstractive Text Summarization Feng Nan Ramesh Nallapati Zhiguo Wang Cicero Nogueira dos Santos Henghui Zhu Dejiao Zhang Kathleen McKeown Bing Xiang HILM 142 156 0 18 Feb 2021