PeNorm: Enhancing positional discriminability in transformers through normalization-based encoding optimization

Xilong Zhang, Ruochen Liu, Xuefeng Liang

Open source

DOI: 10.1016/j.neunet.2026.109522
Published: 2027-01
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109522,
  title = {PeNorm: Enhancing positional discriminability in transformers through normalization-based encoding optimization},
  author = {Xilong Zhang and Ruochen Liu and Xuefeng Liang},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109522},
  url = {https://doi.org/10.1016/j.neunet.2026.109522}
}

RIS

TY  - JOUR
TI  - PeNorm: Enhancing positional discriminability in transformers through normalization-based encoding optimization
AU  - Xilong Zhang
AU  - Ruochen Liu
AU  - Xuefeng Liang
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109522
UR  - https://doi.org/10.1016/j.neunet.2026.109522
ER  -

APA

Zhang, X., Liu, R., & Liang, X. (2027). PeNorm: Enhancing positional discriminability in transformers through normalization-based encoding optimization. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109522

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crossref · retrieved 2026-09-26T07:12:51.887Z