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LongT5: Efficient Text-To-Text Transformer for Long Sequences

Research article (Findings of the Association for Computational Linguistics: NAACL 2022, 2022) · cited 201× · AI/ML
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LongT5: Efficient Text-To-Text Transformer for Long Sequences

Summary

LongT5: Efficient Text-To-Text Transformer for Long Sequences is a scholarly article[1].

Key Facts

  • LongT5: Efficient Text-To-Text Transformer for Long Sequences's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  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). LongT5: Efficient Text-To-Text Transformer for Long Sequences. Retrieved May 24, 2026, from https://4ort.xyz/entity/longt5-efficient-text-to-text-transformer-for-long-sequences
MLA “LongT5: Efficient Text-To-Text Transformer for Long Sequences.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/longt5-efficient-text-to-text-transformer-for-long-sequences.
BibTeX @misc{4ortxyz_longt5-efficient-text-to-text-transformer-for-long-sequences_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LongT5: Efficient Text-To-Text Transformer for Long Sequences}}, year = {2026}, url = {https://4ort.xyz/entity/longt5-efficient-text-to-text-transformer-for-long-sequences}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LongT5: Efficient Text-To-Text Transformer for Long Sequences — https://4ort.xyz/entity/longt5-efficient-text-to-text-transformer-for-long-sequences (retrieved 2026-05-24)

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