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Foundation Models and Fair Use

Foundation Models and Fair Use

28 March 2023
Peter Henderson
Xuechen Li
Dan Jurafsky
Tatsunori Hashimoto
Mark A. Lemley
Percy Liang
ArXivPDFHTML

Papers citing "Foundation Models and Fair Use"

36 / 86 papers shown
Title
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing
  & Attribution in AI
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI
Shayne Longpre
Robert Mahari
Anthony Chen
Naana Obeng-Marnu
Damien Sileo
...
K. Bollacker
Tongshuang Wu
Luis Villa
Sandy Pentland
Sara Hooker
20
56
0
25 Oct 2023
SoK: Memorization in General-Purpose Large Language Models
SoK: Memorization in General-Purpose Large Language Models
Valentin Hartmann
Anshuman Suri
Vincent Bindschaedler
David E. Evans
Shruti Tople
Robert West
KELM
LLMAG
18
20
0
24 Oct 2023
In-Context Unlearning: Language Models as Few Shot Unlearners
In-Context Unlearning: Language Models as Few Shot Unlearners
Martin Pawelczyk
Seth Neel
Himabindu Lakkaraju
MU
28
100
0
11 Oct 2023
Fine-tuning Aligned Language Models Compromises Safety, Even When Users
  Do Not Intend To!
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
Xiangyu Qi
Yi Zeng
Tinghao Xie
Pin-Yu Chen
Ruoxi Jia
Prateek Mittal
Peter Henderson
SILM
49
525
0
05 Oct 2023
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending
  Against Extraction Attacks
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
Vaidehi Patil
Peter Hase
Joey Tianyi Zhou
KELM
AAML
20
96
0
29 Sep 2023
Can LLM-Generated Misinformation Be Detected?
Can LLM-Generated Misinformation Be Detected?
Canyu Chen
Kai Shu
DeLMO
33
158
0
25 Sep 2023
Is the U.S. Legal System Ready for AI's Challenges to Human Values?
Is the U.S. Legal System Ready for AI's Challenges to Human Values?
Inyoung Cheong
Aylin Caliskan
Tadayoshi Kohno
SILM
ELM
AILaw
22
1
0
30 Aug 2023
Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion
  Generated Outputs
Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputs
Luke Ditria
Tom Drummond
WIGM
23
2
0
22 Aug 2023
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
Sewon Min
Suchin Gururangan
Eric Wallace
Hannaneh Hajishirzi
Noah A. Smith
Luke Zettlemoyer
AILaw
22
63
0
08 Aug 2023
Spellburst: A Node-based Interface for Exploratory Creative Coding with
  Natural Language Prompts
Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts
Tyler Angert
Miroslav Suzara
Jenny Han
Christopher Pondoc
Hariharan Subramonyam
30
43
0
07 Aug 2023
Reinforcement Learning for Generative AI: State of the Art,
  Opportunities and Open Research Challenges
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
Giorgio Franceschelli
Mirco Musolesi
AI4CE
40
20
0
31 Jul 2023
On the Exploitability of Instruction Tuning
On the Exploitability of Instruction Tuning
Manli Shu
Jiong Wang
Chen Zhu
Jonas Geiping
Chaowei Xiao
Tom Goldstein
SILM
31
91
0
28 Jun 2023
ViP: A Differentially Private Foundation Model for Computer Vision
ViP: A Differentially Private Foundation Model for Computer Vision
Yaodong Yu
Maziar Sanjabi
Y. Ma
Kamalika Chaudhuri
Chuan Guo
16
12
0
15 Jun 2023
Anticipatory Music Transformer
Anticipatory Music Transformer
John Thickstun
David Leo Wright Hall
Chris Donahue
Percy Liang
18
15
0
14 Jun 2023
Art and the science of generative AI: A deeper dive
Art and the science of generative AI: A deeper dive
Ziv Epstein
Aaron Hertzmann
L. Herman
Robert Mahari
M. Frank
...
Jessica Fjeld
Hany Farid
Neil Leach
Alex Pentland
Olga Russakovsky
23
291
0
07 Jun 2023
MultiLegalPile: A 689GB Multilingual Legal Corpus
MultiLegalPile: A 689GB Multilingual Legal Corpus
Joel Niklaus
Veton Matoshi
Matthias Sturmer
Ilias Chalkidis
Daniel E. Ho
AILaw
ELM
23
40
0
03 Jun 2023
Deep Learning and Ethics
Deep Learning and Ethics
Travis LaCroix
Simon J. D. Prince
FaML
24
0
0
24 May 2023
Can Copyright be Reduced to Privacy?
Can Copyright be Reduced to Privacy?
N. Elkin-Koren
Uri Y. Hacohen
Roi Livni
Shay Moran
35
21
0
24 May 2023
The "code'' of Ethics:A Holistic Audit of AI Code Generators
The "code'' of Ethics:A Holistic Audit of AI Code Generators
Wanlun Ma
Yiliao Song
Minhui Xue
Sheng Wen
Yang Xiang
27
4
0
22 May 2023
Shattering the Agent-Environment Interface for Fine-Tuning Inclusive
  Language Models
Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language Models
Wanqiao Xu
Shi Dong
Dilip Arumugam
Benjamin Van Roy
32
8
0
19 May 2023
StarCoder: may the source be with you!
StarCoder: may the source be with you!
Raymond Li
Loubna Ben Allal
Yangtian Zi
Niklas Muennighoff
Denis Kocetkov
...
Sean M. Hughes
Thomas Wolf
Arjun Guha
Leandro von Werra
H. D. Vries
48
716
0
09 May 2023
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4
Kent K. Chang
Mackenzie Cramer
Sandeep Soni
David Bamman
RALM
145
111
0
28 Apr 2023
ChemCrow: Augmenting large-language models with chemistry tools
ChemCrow: Augmenting large-language models with chemistry tools
Andres M Bran
Sam Cox
Oliver Schilter
Carlo Baldassari
Andrew D. White
P. Schwaller
LLMAG
34
357
0
11 Apr 2023
Pile of Law: Learning Responsible Data Filtering from the Law and a
  256GB Open-Source Legal Dataset
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
Peter Henderson
M. Krass
Lucia Zheng
Neel Guha
Christopher D. Manning
Dan Jurafsky
Daniel E. Ho
AILaw
ELM
131
97
0
01 Jul 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
313
11,953
0
04 Mar 2022
Bounding Training Data Reconstruction in Private (Deep) Learning
Bounding Training Data Reconstruction in Private (Deep) Learning
Chuan Guo
Brian Karrer
Kamalika Chaudhuri
L. V. D. van der Maaten
115
53
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
213
1,657
0
15 Oct 2021
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
134
347
0
13 Oct 2021
Unsolved Problems in ML Safety
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
186
273
0
28 Sep 2021
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
242
593
0
14 Jul 2021
Creativity and Machine Learning: A Survey
Creativity and Machine Learning: A Survey
Giorgio Franceschelli
Mirco Musolesi
VLM
AI4CE
31
40
0
06 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
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
256
1,996
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
290
1,815
0
14 Dec 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
280
1,595
0
18 Sep 2019
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
91
278
0
02 Oct 2017
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