Challenges in Domain-Specific Abstractive Summarization and How to Overcome them

3 July 2023

Papers citing "Challenges in Domain-Specific Abstractive Summarization and How to Overcome them"

9 / 9 papers shown

Title
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models Juraj Vladika Luca Mülln Florian Matthes 23 0 0 22 Oct 2024
WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles T. M. G. Pakull Hendrik Damm Ahmad Idrissi-Yaghir Henning Schafer Peter A. Horn Christoph M. Friedrich 29 2 0 20 May 2024
Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI Muhammad Aurangzeb Ahmad Ilker Yaramis Taposh Dutta Roy LM&MA HILM 12 33 0 26 Sep 2023
Automated Fact-Checking: A Survey Xia Zeng Amani S. Abumansour A. Zubiaga HILM 169 94 0 23 Sep 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey Yi-Chong Huang Xiachong Feng Xiaocheng Feng Bing Qin HILM 128 104 0 30 Apr 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization Saadia Gabriel Asli Celikyilmaz Rahul Jha Yejin Choi Jianfeng Gao HILM 233 96 0 24 Oct 2020
Explainable Automated Fact-Checking for Public Health Claims Neema Kotonya Francesca Toni 216 247 0 19 Oct 2020
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 249 1,982 0 28 Jul 2020
Text Summarization Techniques: A Brief Survey M. Allahyari Seyedamin Pouriyeh Mehdi Assefi S. Safaei Elizabeth D. Trippe Juan B. Gutierrez K. Kochut CVBM 50 505 0 07 Jul 2017