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LEA: Improving Sentence Similarity Robustness to Typos Using Lexical
  Attention Bias

LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias

6 July 2023
Mario Almagro
Emilio Almazán
Diego Ortego
David Jiménez
ArXivPDFHTML

Papers citing "LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias"

5 / 5 papers shown
Title
Investigating Neurons and Heads in Transformer-based LLMs for Typographical Errors
Investigating Neurons and Heads in Transformer-based LLMs for Typographical Errors
Kohei Tsuji
Tatsuya Hiraoka
Yuchang Cheng
Eiji Aramaki
Tomoya Iwakura
79
0
0
27 Feb 2025
Trans-Encoder: Unsupervised sentence-pair modelling through self- and
  mutual-distillations
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Fangyu Liu
Yunlong Jiao
Jordan Massiah
Emine Yilmaz
Serhii Havrylov
SSL
95
29
0
27 Sep 2021
Pairwise Supervised Contrastive Learning of Sentence Representations
Pairwise Supervised Contrastive Learning of Sentence Representations
Dejiao Zhang
Shang-Wen Li
Wei Xiao
Henghui Zhu
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
55
50
0
12 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
253
695
0
27 Aug 2021
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
297
6,959
0
20 Apr 2018
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