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Absformer: Transformer-based Model for Unsupervised Multi-Document
  Abstractive Summarization

Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization

7 June 2023
M. Trabelsi
H. Uzunalioglu
ArXivPDFHTML

Papers citing "Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization"

3 / 3 papers shown
Title
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
369
12,003
0
04 Mar 2022
ScisummNet: A Large Annotated Corpus and Content-Impact Models for
  Scientific Paper Summarization with Citation Networks
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Michihiro Yasunaga
Jungo Kasai
Rui Zhang
Alexander R. Fabbri
Irene Z Li
Dan Friedman
Dragomir R. Radev
73
206
0
04 Sep 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,255
0
14 Nov 2016
1