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A Frustratingly Easy Improvement for Position Embeddings via Random
  Padding

A Frustratingly Easy Improvement for Position Embeddings via Random Padding

8 May 2023
Mingxu Tao
Yansong Feng
Dongyan Zhao
ArXivPDFHTML

Papers citing "A Frustratingly Easy Improvement for Position Embeddings via Random Padding"

6 / 6 papers shown
Title
The What, Why, and How of Context Length Extension Techniques in Large
  Language Models -- A Detailed Survey
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey
Saurav Pawar
S.M. Towhidul Islam Tonmoy
S. M. M. Zaman
Vinija Jain
Aman Chadha
Amitava Das
24
24
0
15 Jan 2024
Advancing Transformer Architecture in Long-Context Large Language
  Models: A Comprehensive Survey
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
Yunpeng Huang
Jingwei Xu
Junyu Lai
Zixu Jiang
Taolue Chen
...
Xiaoxing Ma
Lijuan Yang
Zhou Xin
Shupeng Li
Penghao Zhao
LLMAG
KELM
28
53
0
21 Nov 2023
Extending Input Contexts of Language Models through Training on
  Segmented Sequences
Extending Input Contexts of Language Models through Training on Segmented Sequences
Petros Karypis
Julian McAuley
George Karypis
19
0
0
23 Oct 2023
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language
  Models
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
Chi Han
Qifan Wang
Hao Peng
Wenhan Xiong
Yu Chen
Heng Ji
Sinong Wang
37
47
0
30 Aug 2023
Revisiting DocRED -- Addressing the False Negative Problem in Relation
  Extraction
Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction
Qingyu Tan
Lu Xu
Lidong Bing
Hwee Tou Ng
Sharifah Mahani Aljunied
38
63
0
25 May 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
237
690
0
27 Aug 2021
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