Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets

Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets

26 February 2025

Souvik Bhattacharjee

Debarshi Kumar Sanyal

S. Chattopadhyay

Papers citing "Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets"

17 / 17 papers shown

Title
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models Haopeng Zhang Philip S. Yu Jiawei Zhang 85 19 0 17 Jun 2024
Analysis of Multidomain Abstractive Summarization Using Salience Allocation Tohida Rehman Raghubir Bose Soumik Dey S. Chattopadhyay 44 1 0 19 Feb 2024
Hallucination Reduction in Long Input Text Summarization Gregor Lenz Ronit Mandal Abhishek Agarwal Debarshi Kumar Sanyal HILM 33 9 0 28 Sep 2023
Abstractive Text Summarization using Attentive GRU based Encoder-Decoder Tohida Rehman S. Das Debarshi Kumar Sanyal S. Chattopadhyay 98 6 0 25 Feb 2023
An Analysis of Abstractive Text Summarization Using Pre-trained Models Tohida Rehman S. Das Debarshi Kumar Sanyal S. Chattopadhyay 73 10 0 25 Feb 2023
Named Entity Recognition Based Automatic Generation of Research Highlights Tohida Rehman Debarshi Kumar Sanyal Prasenjit Majumder S. Chattopadhyay 61 8 0 25 Feb 2023
Generation of Highlights from Research Papers Using Pointer-Generator Networks and SciBERT Embeddings Tohida Rehman Debarshi Kumar Sanyal S. Chattopadhyay Plaban Kumar Bhowmick P. Das 58 10 0 14 Feb 2023
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics Huan Yee Koh Jiaxin Ju Ming Liu Shirui Pan 104 124 0 03 Jul 2022
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 514 41,106 0 28 May 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization Jingqing Zhang Yao-Min Zhao Mohammad Saleh Peter J. Liu RALM 3DGS 207 2,029 0 18 Dec 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 150 10,720 0 29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 300 19,824 0 23 Oct 2019
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 208 5,668 0 21 Apr 2019
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization Shashi Narayan Shay B. Cohen Mirella Lapata AILaw 107 1,652 0 27 Aug 2018
Get To The Point: Summarization with Pointer-Generator Networks A. See Peter J. Liu Christopher D. Manning 3DPC 196 4,006 0 14 Apr 2017
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond Ramesh Nallapati Bowen Zhou Cicero Nogueira dos Santos Çağlar Gülçehre Bing Xiang AIMat 197 2,538 0 19 Feb 2016
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 284 3,527 0 10 Jun 2015