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The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval

The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval

16 February 2025
Ting-Rui Chiang
Dani Yogatama
ArXivPDFHTML

Papers citing "The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval"

3 / 3 papers shown
Title
Qwen Technical Report
Qwen Technical Report
Jinze Bai
Shuai Bai
Yunfei Chu
Zeyu Cui
Kai Dang
...
Zhenru Zhang
Chang Zhou
Jingren Zhou
Xiaohuan Zhou
Tianhang Zhu
OSLM
123
1,709
0
28 Sep 2023
RoFormer: Enhanced Transformer with Rotary Position Embedding
RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su
Yu Lu
Shengfeng Pan
Ahmed Murtadha
Bo Wen
Yunfeng Liu
86
2,307
0
20 Apr 2021
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
266
129,831
0
12 Jun 2017
1