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Long Document Summarization with Top-down and Bottom-up Inference

Long Document Summarization with Top-down and Bottom-up Inference

15 March 2022
Bo Pang
Erik Nijkamp
Wojciech Kry'sciñski
Silvio Savarese
Yingbo Zhou
Caiming Xiong
    RALM
    BDL
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Papers citing "Long Document Summarization with Top-down and Bottom-up Inference"

19 / 19 papers shown
Title
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
Manan Suri
Puneet Mathur
Franck Dernoncourt
Kanika Goswami
Ryan Rossi
Dinesh Manocha
95
3
0
14 Dec 2024
A Modular Approach for Multimodal Summarization of TV Shows
A Modular Approach for Multimodal Summarization of TV Shows
Louis Mahon
Mirella Lapata
21
9
0
06 Mar 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
65
79
0
05 Mar 2024
Can Large Language Model Summarizers Adapt to Diverse Scientific
  Communication Goals?
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?
Marcio Fonseca
Shay B. Cohen
39
10
0
18 Jan 2024
Large-Scale and Multi-Perspective Opinion Summarization with Diverse
  Review Subsets
Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets
Han Jiang
Rui Wang
Zhihua Wei
Yu Li
Xinpeng Wang
33
4
0
20 Oct 2023
Personality Understanding of Fictional Characters during Book Reading
Personality Understanding of Fictional Characters during Book Reading
Mo Yu
JiangNan Li
Shunyu Yao
Wenjie Pang
Xiaochen Zhou
Zhou Xiao
Fandong Meng
Jie Zhou
24
16
0
17 May 2023
GoSum: Extractive Summarization of Long Documents by Reinforcement
  Learning and Graph Organized discourse state
GoSum: Extractive Summarization of Long Documents by Reinforcement Learning and Graph Organized discourse state
Junyi Bian
Xiaodi Huang
Hong Zhou
Shanfeng Zhu
15
11
0
18 Nov 2022
CREATIVESUMM: Shared Task on Automatic Summarization for Creative
  Writing
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing
Divyansh Agarwal
Alexander R. Fabbri
Simeng Han
Wojciech Kry'sciñski
Faisal Ladhak
B. Li
Kathleen McKeown
Dragomir R. Radev
Tianyi Zhang
Sam Wiseman
17
5
0
10 Nov 2022
How Far are We from Robust Long Abstractive Summarization?
How Far are We from Robust Long Abstractive Summarization?
Huan Yee Koh
Jiaxin Ju
He Zhang
Ming Liu
Shirui Pan
HILM
23
39
0
30 Oct 2022
An Exploration of Hierarchical Attention Transformers for Efficient Long
  Document Classification
An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification
Ilias Chalkidis
Xiang Dai
Manos Fergadiotis
Prodromos Malakasiotis
Desmond Elliott
30
33
0
11 Oct 2022
Adapting Pretrained Text-to-Text Models for Long Text Sequences
Adapting Pretrained Text-to-Text Models for Long Text Sequences
Wenhan Xiong
Anchit Gupta
Shubham Toshniwal
Yashar Mehdad
Wen-tau Yih
RALM
VLM
49
30
0
21 Sep 2022
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
Alex Jinpeng Wang
Richard Yuanzhe Pang
Angelica Chen
Jason Phang
Samuel R. Bowman
72
44
0
23 May 2022
SNaC: Coherence Error Detection for Narrative Summarization
SNaC: Coherence Error Detection for Narrative Summarization
Tanya Goyal
Junyi Jessy Li
Greg Durrett
24
27
0
19 May 2022
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text
  Extractive Summarization
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
Ye Liu
Jianguo Zhang
Yao Wan
Congying Xia
Lifang He
Philip S. Yu
34
28
0
12 Oct 2021
Unsupervised Extractive Summarization by Pre-training Hierarchical
  Transformers
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
Shusheng Xu
Xingxing Zhang
Yi Wu
Furu Wei
Ming Zhou
57
43
0
16 Oct 2020
Big Bird: Transformers for Longer Sequences
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
2,009
0
28 Jul 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
238
578
0
12 Mar 2020
On Extractive and Abstractive Neural Document Summarization with
  Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian
Raymond Li
Jonathan Pilault
C. Pal
233
214
0
07 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
1,252
0
14 Nov 2016
1