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Benchmarking down-scaled (not so large) pre-trained language models

Benchmarking down-scaled (not so large) pre-trained language models

11 May 2021
Matthias Aßenmacher
P. Schulze
C. Heumann
ArXivPDFHTML

Papers citing "Benchmarking down-scaled (not so large) pre-trained language models"

4 / 4 papers shown
Title
Drawing Causal Inferences About Performance Effects in NLP
Drawing Causal Inferences About Performance Effects in NLP
Sandra Wankmüller
CML
16
1
0
14 Sep 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,489
0
23 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,826
0
17 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
299
6,984
0
20 Apr 2018
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