Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization

26 May 2023

Papers citing "Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization"

11 / 11 papers shown

Title
Learning to Verify Summary Facts with Fine-Grained LLM Feedback Jihwan Oh J. Choi Nicole Hee-Yeon Kim Taewon Yun Hwanjun Song SyDa ALM HILM 63 1 0 14 Dec 2024
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics Xiang Dai Sarvnaz Karimi Biaoyan Fang 17 0 0 29 Sep 2024
Zero-shot Factual Consistency Evaluation Across Domains Raunak Agarwal HILM 21 0 0 07 Aug 2024
Face4RAG: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese Yunqi Xu Tianchi Cai Jiyan Jiang Xierui Song 25 2 0 01 Jul 2024
Factual Dialogue Summarization via Learning from Large Language Models Rongxin Zhu Jey Han Lau Jianzhong Qi HILM 41 1 0 20 Jun 2024
Identifying Factual Inconsistencies in Summaries: Grounding Model Inference via Task Taxonomy Liyan Xu Zhenlin Su Mo Yu Jin Xu Jinho D. Choi Jie Zhou Fei Liu HILM 16 2 0 20 Feb 2024
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
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
Factual Error Correction for Abstractive Summarization Models Mengyao Cao Yue Dong Jiapeng Wu Jackie C.K. Cheung HILM KELM 167 159 0 17 Oct 2020
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 170 3,504 0 10 Jun 2015