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Quantifying and Analyzing Entity-level Memorization in Large Language
  Models

Quantifying and Analyzing Entity-level Memorization in Large Language Models

30 August 2023
Zhenhong Zhou
Jiuyang Xiang
Chao-Yi Chen
Sen Su
    PILM
ArXivPDFHTML

Papers citing "Quantifying and Analyzing Entity-level Memorization in Large Language Models"

12 / 12 papers shown
Title
Think or Remember? Detecting and Directing LLMs Towards Memorization or
  Generalization
Think or Remember? Detecting and Directing LLMs Towards Memorization or Generalization
Yi-Fu Fu
Yu-Chieh Tu
Tzu-Ling Cheng
Cheng-Yu Lin
Yi-Ting Yang
Heng-Yi Liu
Keng-Te Liao
Da-Cheng Juan
Shou-de Lin
36
0
0
24 Dec 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
69
7
0
03 Oct 2024
Risks, Causes, and Mitigations of Widespread Deployments of Large
  Language Models (LLMs): A Survey
Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey
Md. Nazmus Sakib
Md Athikul Islam
Royal Pathak
Md Mashrur Arifin
ALM
PILM
29
2
0
01 Aug 2024
Pandora's White-Box: Precise Training Data Detection and Extraction in
  Large Language Models
Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language Models
Jeffrey G. Wang
Jason Wang
Marvin Li
Seth Neel
MIALM
41
0
0
26 Feb 2024
Do LLMs Dream of Ontologies?
Do LLMs Dream of Ontologies?
Marco Bombieri
Paolo Fiorini
Simone Paolo Ponzetto
M. Rospocher
CLL
24
2
0
26 Jan 2024
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
303
11,881
0
04 Mar 2022
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
237
588
0
14 Jul 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
277
1,114
0
18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 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
245
1,977
0
31 Dec 2020
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,913
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
267
1,808
0
14 Dec 2020
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