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Disentangling Instructive Information from Ranked Multiple Candidates
  for Multi-Document Scientific Summarization

Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization

16 April 2024
Pancheng Wang
Shasha Li
Dong Li
Kehan Long
Jintao Tang
Ting Wang
ArXiv (abs)PDFHTML

Papers citing "Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization"

21 / 21 papers shown
Title
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and
  Generative Fusion
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Dongfu Jiang
Xiang Ren
Bill Yuchen Lin
ELM
84
332
0
05 Jun 2023
Multi-Document Scientific Summarization from a Knowledge Graph-Centric
  View
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View
Pancheng Wang
Shasha Li
Kunyuan Pang
Liangliang He
Dong Li
Jintao Tang
Ting Wang
60
15
0
09 Sep 2022
Target-aware Abstractive Related Work Generation with Contrastive
  Learning
Target-aware Abstractive Related Work Generation with Contrastive Learning
Preslav Nakov
Hind Alamro
Li Mingzhe
Shen Gao
Rui Yan
Xin Gao
Xiangliang Zhang
3DV
195
29
0
26 May 2022
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for
  Abstractive Summarization
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization
Mathieu Ravaut
Shafiq Joty
Nancy F. Chen
MoE
43
95
0
13 Mar 2022
SimCLS: A Simple Framework for Contrastive Learning of Abstractive
  Summarization
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization
Yixin Liu
Peng Liu
AILaw
74
261
0
03 Jun 2021
RefSum: Refactoring Neural Summarization
RefSum: Refactoring Neural Summarization
Yixin Liu
Zi-Yi Dou
Pengfei Liu
57
40
0
15 Apr 2021
Multi-XScience: A Large-scale Dataset for Extreme Multi-document
  Summarization of Scientific Articles
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu
Yue Dong
Laurent Charlin
AILaw
85
120
0
27 Oct 2020
Leveraging Graph to Improve Abstractive Multi-Document Summarization
Leveraging Graph to Improve Abstractive Multi-Document Summarization
Wei Li
Xinyan Xiao
Jiachen Liu
Hua Wu
Haifeng Wang
Junping Du
66
136
0
20 May 2020
Heterogeneous Graph Neural Networks for Extractive Document
  Summarization
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Danqing Wang
Pengfei Liu
Y. Zheng
Xipeng Qiu
Xuanjing Huang
143
282
0
26 Apr 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALMVLM
179
4,092
0
10 Apr 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
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
AIMatVLM
264
10,851
0
29 Oct 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
352
5,860
0
21 Apr 2019
SciBERT: A Pretrained Language Model for Scientific Text
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy
Kyle Lo
Arman Cohan
168
2,985
0
26 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Disentangled Representation Learning for Non-Parallel Text Style
  Transfer
Disentangled Representation Learning for Non-Parallel Text Style Transfer
V. John
Lili Mou
Hareesh Bahuleyan
Olga Vechtomova
DRL
75
302
0
13 Aug 2018
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
311
4,026
0
14 Apr 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
911
6,796
0
26 Sep 2016
Sequence Level Training with Recurrent Neural Networks
Sequence Level Training with Recurrent Neural Networks
MarcÁurelio Ranzato
S. Chopra
Michael Auli
Wojciech Zaremba
106
1,620
0
20 Nov 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
113
2,364
0
19 Nov 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
LexRank: Graph-based Lexical Centrality as Salience in Text
  Summarization
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
Günes Erkan
Dragomir R. Radev
207
3,097
0
09 Sep 2011
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