ML Anthology

3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding

Xindian Ma, Wenyuan Liu, Peng Zhang, Nan Xu
AAAI 2025 pp. 24804-24811
doi:10.1609/AAAI.V39I23.34662 /aaai/2025/ma2025aaai-d/
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Cite

Text

Ma et al. "3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I23.34662

Markdown

[Ma et al. "3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/ma2025aaai-d/) doi:10.1609/AAAI.V39I23.34662

BibTeX

@inproceedings{ma2025aaai-d,
  title     = {{3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding}},
  author    = {Ma, Xindian and Liu, Wenyuan and Zhang, Peng and Xu, Nan},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {24804-24811},
  doi       = {10.1609/AAAI.V39I23.34662},
  url       = {https://mlanthology.org/aaai/2025/ma2025aaai-d/}
}