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Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large
  Language Models

Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models

15 June 2023
Myles Foley
Ambrish Rawat
Taesung Lee
Yufang Hou
Gabriele Picco
Giulio Zizzo
    DeLMO
ArXivPDFHTML

Papers citing "Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models"

5 / 5 papers shown
Title
Memorization in NLP Fine-tuning Methods
Memorization in NLP Fine-tuning Methods
Fatemehsadat Mireshghallah
Archit Uniyal
Tianhao Wang
David E. Evans
Taylor Berg-Kirkpatrick
AAML
58
39
0
25 May 2022
Teaching language models to support answers with verified quotes
Teaching language models to support answers with verified quotes
Jacob Menick
Maja Trebacz
Vladimir Mikulik
John Aslanides
Francis Song
...
Mia Glaese
Susannah Young
Lucy Campbell-Gillingham
G. Irving
Nat McAleese
ELM
RALM
220
204
0
21 Mar 2022
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
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
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