ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.09770
  4. Cited By
Z-Code++: A Pre-trained Language Model Optimized for Abstractive
  Summarization

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization

21 August 2022
Pengcheng He
Baolin Peng
Liyang Lu
Song Wang
Jie Mei
Yang Liu
Ruochen Xu
Hany Awadalla
Yu Shi
Chenguang Zhu
Wayne Xiong
Michael Zeng
Jianfeng Gao
Xuedong Huang
ArXivPDFHTML

Papers citing "Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization"

4 / 54 papers shown
Title
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
276
4,019
0
14 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
261
8,124
0
16 Jun 2016
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and
  Beyond
Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond
Ramesh Nallapati
Bowen Zhou
Cicero Nogueira dos Santos
Çağlar Gülçehre
Bing Xiang
AIMat
250
2,554
0
19 Feb 2016
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
S. Chopra
Jason Weston
CVBM
182
2,700
0
02 Sep 2015
Previous
12