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Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 14× · AI/ML
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Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer

Summary

Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer is a scholarly article[1].

Key Facts

  • Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer's instance of is recorded as scholarly article[2].

Related Entities

Graham Neubig

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. Retrieved May 24, 2026, from https://4ort.xyz/entity/retrieval-as-attention-end-to-end-learning-of-retrieval-and-reading-within-a-single-transformer
MLA “Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retrieval-as-attention-end-to-end-learning-of-retrieval-and-reading-within-a-single-transformer.
BibTeX @misc{4ortxyz_retrieval-as-attention-end-to-end-learning-of-retrieval-and-reading-within-a-single-transformer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer}}, year = {2026}, url = {https://4ort.xyz/entity/retrieval-as-attention-end-to-end-learning-of-retrieval-and-reading-within-a-single-transformer}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer — https://4ort.xyz/entity/retrieval-as-attention-end-to-end-learning-of-retrieval-and-reading-within-a-single-transformer (retrieved 2026-05-24)

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