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Striking a Balance: Alleviating Inconsistency in Pre-trained Models for
  Symmetric Classification Tasks

Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks

25 March 2022
Ashutosh Kumar
Aditya Joshi
ArXivPDFHTML

Papers citing "Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks"

2 / 2 papers shown
Title
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for
  Pairwise Sentence Scoring Tasks
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
Nandan Thakur
Nils Reimers
Johannes Daxenberger
Iryna Gurevych
208
243
0
16 Oct 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
299
6,996
0
20 Apr 2018
1