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. 2301.05402
  4. Cited By
In BLOOM: Creativity and Affinity in Artificial Lyrics and Art

In BLOOM: Creativity and Affinity in Artificial Lyrics and Art

13 January 2023
Evan Crothers
H. Viktor
Nathalie Japkowicz
ArXiv (abs)PDFHTML

Papers citing "In BLOOM: Creativity and Affinity in Artificial Lyrics and Art"

13 / 13 papers shown
Title
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop
:
Teven Le Scao
Angela Fan
Christopher Akiki
...
Zhongli Xie
Zifan Ye
M. Bras
Younes Belkada
Thomas Wolf
VLM
414
2,393
0
09 Nov 2022
Visualize Before You Write: Imagination-Guided Open-Ended Text
  Generation
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation
Wanrong Zhu
An Yan
Yujie Lu
Wenda Xu
Xinze Wang
Miguel P. Eckstein
William Yang Wang
114
36
0
07 Oct 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
505
15,788
0
20 Dec 2021
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text
  Generation
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
Marzena Karpinska
Nader Akoury
Mohit Iyyer
279
108
0
14 Sep 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using
  Divergence Frontiers
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla
Swabha Swayamdipta
Rowan Zellers
John Thickstun
Sean Welleck
Yejin Choi
Zaïd Harchaoui
129
362
0
02 Feb 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
Basel Alomair
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAUSILM
517
1,956
0
14 Dec 2020
Melody-Conditioned Lyrics Generation with SeqGANs
Melody-Conditioned Lyrics Generation with SeqGANs
Yihao Chen
Alexander Lerch
GANMGen
69
29
0
28 Oct 2020
Neural Text Generation with Unlikelihood Training
Neural Text Generation with Unlikelihood Training
Sean Welleck
Ilia Kulikov
Stephen Roller
Emily Dinan
Kyunghyun Cho
Jason Weston
MU
68
583
0
12 Aug 2019
GPT-based Generation for Classical Chinese Poetry
GPT-based Generation for Classical Chinese Poetry
Yi-Lun Liao
Yasheng Wang
Qun Liu
Xin Jiang
58
40
0
29 Jun 2019
The Curious Case of Neural Text Degeneration
The Curious Case of Neural Text Degeneration
Ari Holtzman
Jan Buys
Li Du
Maxwell Forbes
Yejin Choi
207
3,213
0
22 Apr 2019
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash
  Equilibrium
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
M. Heusel
Hubert Ramsauer
Thomas Unterthiner
Bernhard Nessler
Sepp Hochreiter
95
465
0
26 Jun 2017
A Diversity-Promoting Objective Function for Neural Conversation Models
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li
Michel Galley
Chris Brockett
Jianfeng Gao
W. Dolan
149
2,404
0
11 Oct 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
496
43,717
0
17 Sep 2014
1