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A Simple and Effective Positional Encoding for Transformers

Research article (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021) · cited 51× · AI/ML
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scholarly article[2]

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Authored by 5
Chun-Sung Ferng, Henry Tsai, Pu-Chin Chen, Srinadh Bhojanapalli, Yin-Wen Chang
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Chun-Sung Ferng, Henry Tsai, Pu-Chin Chen, Srinadh Bhojanapalli, Yin-Wen Chang
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A Simple and Effective Positional Encoding for Transformers is a scholarly article[1].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A Simple and Effective Positional Encoding for Transformers. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-simple-and-effective-positional-encoding-for-transformers
MLA “A Simple and Effective Positional Encoding for Transformers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-simple-and-effective-positional-encoding-for-transformers.
BibTeX @misc{4ortxyz_a-simple-and-effective-positional-encoding-for-transformers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Simple and Effective Positional Encoding for Transformers}}, year = {2026}, url = {https://4ort.xyz/entity/a-simple-and-effective-positional-encoding-for-transformers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Simple and Effective Positional Encoding for Transformers — https://4ort.xyz/entity/a-simple-and-effective-positional-encoding-for-transformers (retrieved 2026-05-24)

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