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Predicting Fine-Tuning Performance with Probing

Predicting Fine-Tuning Performance with Probing

13 October 2022
Zining Zhu
Soroosh Shahtalebi
Frank Rudzicz
ArXivPDFHTML

Papers citing "Predicting Fine-Tuning Performance with Probing"

5 / 5 papers shown
Title
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based
  Language Models
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models
Kushal Tatariya
Vladimir Araujo
Thomas Bauwens
Miryam de Lhoneux
VLM
13
0
0
15 Oct 2024
Can We Use Probing to Better Understand Fine-tuning and Knowledge
  Distillation of the BERT NLU?
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU?
Jakub Ho'scilowicz
Marcin Sowanski
Piotr Czubowski
Artur Janicki
23
2
0
27 Jan 2023
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
180
101
0
19 Sep 2021
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
404
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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