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. 2301.03252
  4. Cited By
Active Learning for Abstractive Text Summarization

Active Learning for Abstractive Text Summarization

9 January 2023
Akim Tsvigun
Ivan Lysenko
Danila Sedashov
Ivan Lazichny
Eldar Damirov
Vladimir E. Karlov
Artemy Belousov
Leonid Sanochkin
Maxim Panov
Alexander Panchenko
Mikhail Burtsev
Artem Shelmanov
ArXivPDFHTML

Papers citing "Active Learning for Abstractive Text Summarization"

5 / 5 papers shown
Title
Training Dynamics for Text Summarization Models
Training Dynamics for Text Summarization Models
Tanya Goyal
Jiacheng Xu
J. Li
Greg Durrett
57
29
0
15 Oct 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A
  Survey
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Yi-Chong Huang
Xiachong Feng
Xiaocheng Feng
Bing Qin
HILM
128
104
0
30 Apr 2021
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
104
180
0
19 Oct 2020
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1