Evaluating and Improving Factuality in Multimodal Abstractive Summarization

4 November 2022

Papers citing "Evaluating and Improving Factuality in Multimodal Abstractive Summarization"

5 / 5 papers shown

Title
Integrating Video and Text: A Balanced Approach to Multimodal Summary Generation and Evaluation Galann Pennec Zhengyuan Liu Nicholas Asher Philippe Muller Nancy F. Chen VGen 31 0 0 10 May 2025
Fine-grained and Explainable Factuality Evaluation for Multimodal Summarization Liqiang Jing Jingxuan Zuo Yue Zhang 50 8 0 31 Dec 2024
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation Zhengkun Zhang Xiaojun Meng Yasheng Wang Xin Jiang Qun Liu Zhenglu Yang 45 45 0 13 Sep 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 233 306 0 27 Apr 2021
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 211 3,515 0 10 Jun 2015