HaRiM $^+$ : Evaluating Summary Quality with Hallucination Risk

22 November 2022

Papers citing "HaRiM$^+$: Evaluating Summary Quality with Hallucination Risk"

7 / 7 papers shown

Title
Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review Emma Croxford Yanjun Gao Nicholas Pellegrino Karen K. Wong Graham Wills Elliot First Frank J. Liao Cherodeep Goswami Brian Patterson Majid Afshar HILM ELM LM&MA 37 1 0 26 Sep 2024
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities Xiaomin Yu Yezhaohui Wang Yanfang Chen Zhen Tao Dinghao Xi Shichao Song Simin Niu Zhiyu Li 67 8 0 25 Apr 2024
Hallucination Detection and Hallucination Mitigation: An Investigation Junliang Luo Tianyu Li Di Wu Michael R. M. Jenkin Steve Liu Gregory Dudek HILM LLMAG 44 22 0 16 Jan 2024
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization G. Chrysostomou Zhixue Zhao Miles Williams Nikolaos Aletras HILM 34 10 0 15 Nov 2023
MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification Yu Lu Liu Rachel Bawden Thomas Scaliom Benoît Sagot Jackie C.K. Cheung 35 4 0 24 May 2022
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 231 305 0 27 Apr 2021
Text Summarization with Pretrained Encoders Yang Liu Mirella Lapata MILM 258 1,432 0 22 Aug 2019