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. 2406.14526
  4. Cited By
Fantastic Copyrighted Beasts and How (Not) to Generate Them

Fantastic Copyrighted Beasts and How (Not) to Generate Them

20 June 2024
Luxi He
Yangsibo Huang
Weijia Shi
Tinghao Xie
Haotian Liu
Yue Wang
Luke Zettlemoyer
Chiyuan Zhang
Danqi Chen
Peter Henderson
ArXivPDFHTML

Papers citing "Fantastic Copyrighted Beasts and How (Not) to Generate Them"

10 / 10 papers shown
Title
The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI
The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI
Peter Hall
Olivia Mundahl
Sunoo Park
61
0
0
30 Jan 2025
On Memorization of Large Language Models in Logical Reasoning
On Memorization of Large Language Models in Logical Reasoning
Chulin Xie
Yangsibo Huang
Chiyuan Zhang
Da Yu
Xinyun Chen
Bill Yuchen Lin
Bo Li
Badih Ghazi
Ravi Kumar
LRM
33
20
0
30 Oct 2024
MUSE: Machine Unlearning Six-Way Evaluation for Language Models
MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Weijia Shi
Jaechan Lee
Yangsibo Huang
Sadhika Malladi
Jieyu Zhao
Ari Holtzman
Daogao Liu
Luke Zettlemoyer
Noah A. Smith
Chiyuan Zhang
MU
ELM
40
36
0
08 Jul 2024
Evaluating Copyright Takedown Methods for Language Models
Evaluating Copyright Takedown Methods for Language Models
Boyi Wei
Weijia Shi
Yangsibo Huang
Noah A. Smith
Chiyuan Zhang
Luke Zettlemoyer
Kai Li
Peter Henderson
31
19
0
26 Jun 2024
An Economic Solution to Copyright Challenges of Generative AI
An Economic Solution to Copyright Challenges of Generative AI
Jiachen T. Wang
Zhun Deng
Hiroaki Chiba-Okabe
Boaz Barak
Weijie J. Su
27
9
0
22 Apr 2024
Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
Senmao Li
J. Weijer
Taihang Hu
Fahad Shahbaz Khan
Qibin Hou
Yaxing Wang
Jian Yang
DiffM
25
27
0
08 Feb 2024
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large
  Datasets
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
A. Blattmann
Tim Dockhorn
Sumith Kulal
Daniel Mendelevitch
Maciej Kilian
...
Zion English
Vikram S. Voleti
Adam Letts
Varun Jampani
Robin Rombach
VGen
150
985
0
25 Nov 2023
VideoFusion: Decomposed Diffusion Models for High-Quality Video
  Generation
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Zhengxiong Luo
Dayou Chen
Yingya Zhang
Yan Huang
Liangsheng Wang
Yujun Shen
Deli Zhao
Jinren Zhou
Tien-Ping Tan
DiffM
VGen
126
215
0
15 Mar 2023
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
236
1,508
0
31 Dec 2020
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
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
261
1,386
0
14 Dec 2020
1