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SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

8 August 2023
Sewon Min
Suchin Gururangan
Eric Wallace
Hannaneh Hajishirzi
Noah A. Smith
Luke Zettlemoyer
    AILaw
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Papers citing "SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore"

17 / 17 papers shown
Title
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
Mingrui Liu
Sixiao Zhang
Cheng Long
AAML
39
2
0
26 Oct 2024
Undesirable Memorization in Large Language Models: A Survey
Undesirable Memorization in Large Language Models: A Survey
Ali Satvaty
Suzan Verberne
Fatih Turkmen
ELM
PILM
67
7
0
03 Oct 2024
Strong Copyright Protection for Language Models via Adaptive Model
  Fusion
Strong Copyright Protection for Language Models via Adaptive Model Fusion
Javier Abad
Konstantin Donhauser
Francesco Pinto
Fanny Yang
35
4
0
29 Jul 2024
Fantastic Copyrighted Beasts and How (Not) to Generate Them
Fantastic Copyrighted Beasts and How (Not) to Generate Them
Luxi He
Yangsibo Huang
Weijia Shi
Tinghao Xie
Haotian Liu
Yue Wang
Luke Zettlemoyer
Chiyuan Zhang
Danqi Chen
Peter Henderson
39
9
0
20 Jun 2024
Participation in the age of foundation models
Participation in the age of foundation models
Harini Suresh
Emily Tseng
Meg Young
Mary L. Gray
Emma Pierson
Karen Levy
22
19
0
29 May 2024
Data Authenticity, Consent, & Provenance for AI are all broken: what
  will it take to fix them?
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
Shayne Longpre
Robert Mahari
Naana Obeng-Marnu
William Brannon
Tobin South
Katy Gero
Sandy Pentland
Jad Kabbara
51
5
0
19 Apr 2024
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
Jiacheng Liu
Sewon Min
Luke Zettlemoyer
Yejin Choi
Hannaneh Hajishirzi
32
50
0
30 Jan 2024
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
138
109
0
28 Apr 2023
You can't pick your neighbors, or can you? When and how to rely on
  retrieval in the $k$NN-LM
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kkkNN-LM
Andrew Drozdov
Shufan Wang
Razieh Rahimi
Andrew McCallum
Hamed Zamani
Mohit Iyyer
RALM
99
17
0
28 Oct 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Joel Jang
Dongkeun Yoon
Sohee Yang
Sungmin Cha
Moontae Lee
Lajanugen Logeswaran
Minjoon Seo
KELM
PILM
MU
145
110
0
04 Oct 2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen
Hexiang Hu
Chitwan Saharia
William W. Cohen
VLM
114
159
0
29 Sep 2022
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
127
94
0
01 Jul 2022
Training Language Models with Memory Augmentation
Training Language Models with Memory Augmentation
Zexuan Zhong
Tao Lei
Danqi Chen
RALM
226
126
0
25 May 2022
Efficient Nearest Neighbor Language Models
Efficient Nearest Neighbor Language Models
Junxian He
Graham Neubig
Taylor Berg-Kirkpatrick
RALM
188
103
0
09 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
234
447
0
14 Jul 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
242
1,977
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
264
1,798
0
14 Dec 2020
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