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A Morphology-Based Investigation of Positional Encodings

A Morphology-Based Investigation of Positional Encodings

6 April 2024
Poulami Ghosh
Shikhar Vashishth
Raj Dabre
Pushpak Bhattacharyya
ArXivPDFHTML

Papers citing "A Morphology-Based Investigation of Positional Encodings"

5 / 5 papers shown
Title
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on
  Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages
Pretam Ray
Jivnesh Sandhan
Amrith Krishna
Pawan Goyal
13
0
0
09 Oct 2024
What Language Model to Train if You Have One Million GPU Hours?
What Language Model to Train if You Have One Million GPU Hours?
Teven Le Scao
Thomas Wang
Daniel Hesslow
Lucile Saulnier
Stas Bekman
...
Lintang Sutawika
Jaesung Tae
Zheng-Xin Yong
Julien Launay
Iz Beltagy
MoE
AI4CE
212
103
0
27 Oct 2022
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
234
690
0
27 Aug 2021
Morphology Matters: A Multilingual Language Modeling Analysis
Morphology Matters: A Multilingual Language Modeling Analysis
Hyunji Hayley Park
Katherine J. Zhang
Coleman Haley
K. Steimel
Han Liu
Lane Schwartz
39
39
0
11 Dec 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
294
6,927
0
20 Apr 2018
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