RoFormer: Rotary Position Embedding (RoPE), for Position Information — RoFormer: Enhanced Transformer with Rotary Position Embedding, RoFormer, by Zhuiyi Technology Co., Ltd. 2021 arXiv v4, Over 70 Citations (Sik-Ho Tsang @ Medium) Natural Language Processing, NLP, Language Model, LM, Transformer, BERT Rotary Position Embedding (RoPE) is proposed to effectively leverage the positional information.