LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation

21 September 2023

Papers citing "LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation"

7 / 7 papers shown

Title
The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input Alon Jacovi Andrew Wang Chris Alberti Connie Tao Jon Lipovetz ... Rachana Fellinger Rui Wang Zizhao Zhang Sasha Goldshtein Dipanjan Das HILM ALM 93 13 0 06 Jan 2025
CoverBench: A Challenging Benchmark for Complex Claim Verification Alon Jacovi Moran Ambar Eyal Ben-David Uri Shaham Amir Feder Mor Geva Dror Marcus Avi Caciularu LMTD 49 3 0 06 Aug 2024
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics Huan Yee Koh Jiaxin Ju Ming Liu Shirui Pan 81 122 0 03 Jul 2022
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey Yi-Chong Huang Xiachong Feng Xiaocheng Feng Bing Qin HILM 136 105 0 30 Apr 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 231 306 0 27 Apr 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 285 2,017 0 28 Jul 2020
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 211 3,513 0 10 Jun 2015