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Foundation Model's Embedded Representations May Detect Distribution
  Shift

Foundation Model's Embedded Representations May Detect Distribution Shift

20 October 2023
Max Vargas
Adam Tsou
A. Engel
Tony Chiang
ArXivPDFHTML

Papers citing "Foundation Model's Embedded Representations May Detect Distribution Shift"

4 / 4 papers shown
Title
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
119
33
0
22 May 2023
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
224
404
0
24 Feb 2021
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
199
882
0
03 May 2018
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
6,950
0
20 Apr 2018
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