Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization

28 August 2024

Papers citing "Scaling Up Summarization: Leveraging Large Language Models for Long Text Extractive Summarization"

9 / 9 papers shown

Title
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 324 759 0 27 Aug 2021
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models Jianmo Ni Gustavo Hernández Ábrego Noah Constant Ji Ma Keith B. Hall Daniel Cer Yinfei Yang 206 559 0 19 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 204 3,971 0 28 Jul 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding Jianlin Su Yu Lu Shengfeng Pan Ahmed Murtadha Bo Wen Yunfeng Liu 278 2,453 0 20 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 543 2,086 0 28 Jul 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 168 4,071 0 10 Apr 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 653 24,464 0 26 Jul 2019
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents Arman Cohan Franck Dernoncourt Doo Soon Kim Trung Bui Seokhwan Kim W. Chang Nazli Goharian 467 761 0 16 Apr 2018
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization Günes Erkan Dragomir R. Radev 195 3,095 0 09 Sep 2011