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. 2405.05176
  4. Cited By
Encoder-Decoder Framework for Interactive Free Verses with Generation
  with Controllable High-Quality Rhyming

Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming

8 May 2024
Tommaso Pasini
Alejo López-Ávila
Husam Quteineh
Gerasimos Lampouras
Jinhua Du
Yubing Wang
Ze Li
Yusen Sun
ArXiv (abs)PDFHTML

Papers citing "Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming"

6 / 6 papers shown
Title
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised
  Poetry Generation
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation
Aitor Ormazabal
Mikel Artetxe
Manex Agirrezabal
Aitor Soroa Etxabe
Eneko Agirre
62
21
0
24 May 2022
Say What? Collaborative Pop Lyric Generation Using Multitask Transfer
  Learning
Say What? Collaborative Pop Lyric Generation Using Multitask Transfer Learning
Naveen Ram
Tanay Gummadi
Rahul Bhethanabotla
Richard J. Savery
Gil Weinberg
42
9
0
15 Nov 2021
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
Lanqing Xue
Kaitao Song
Duocai Wu
Xu Tan
N. Zhang
Tao Qin
Weiqiang Zhang
Tie-Yan Liu
70
38
0
05 Jul 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization
  for Relation Extraction
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen
Ningyu Zhang
Xin Xie
Shumin Deng
Yunzhi Yao
Chuanqi Tan
Fei Huang
Luo Si
Huajun Chen
131
415
0
15 Apr 2021
SongNet: Rigid Formats Controlled Text Generation
SongNet: Rigid Formats Controlled Text Generation
Piji Li
Haisong Zhang
Xiaojiang Liu
Shuming Shi
108
54
0
17 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
485
20,317
0
23 Oct 2019
1