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PreCog: Exploring the Relation between Memorization and Performance in
  Pre-trained Language Models

PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models

8 May 2023
Leonardo Ranaldi
Elena Sofia Ruzzetti
Fabio Massimo Zanzotto
ArXivPDFHTML

Papers citing "PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models"

7 / 7 papers shown
Title
Clinical Insights: A Comprehensive Review of Language Models in Medicine
Clinical Insights: A Comprehensive Review of Language Models in Medicine
Nikita Neveditsin
Pawan Lingras
V. Mago
LM&MA
49
3
0
08 Jan 2025
Do LLMs Dream of Ontologies?
Do LLMs Dream of Ontologies?
Marco Bombieri
Paolo Fiorini
Simone Paolo Ponzetto
M. Rospocher
CLL
21
2
0
26 Jan 2024
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for
  Out-of-Domain Detection
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
Rheeya Uppaal
Junjie Hu
Yixuan Li
OODD
109
33
0
22 May 2023
Memorisation versus Generalisation in Pre-trained Language Models
Memorisation versus Generalisation in Pre-trained Language Models
Michael Tänzer
Sebastian Ruder
Marek Rei
84
50
0
16 Apr 2021
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
1,798
0
14 Dec 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
396
2,576
0
03 Sep 2019
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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