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Adapting Pretrained Text-to-Text Models for Long Text Sequences

Research article (Findings of the Association for Computational Linguistics: EMNLP 2023, 2023) · cited 15× · AI/ML
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Adapting Pretrained Text-to-Text Models for Long Text Sequences

Summary

Adapting Pretrained Text-to-Text Models for Long Text Sequences is a scholarly article[1].

Key Facts

  • Adapting Pretrained Text-to-Text Models for Long Text Sequences's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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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). Adapting Pretrained Text-to-Text Models for Long Text Sequences. Retrieved May 24, 2026, from https://4ort.xyz/entity/adapting-pretrained-text-to-text-models-for-long-text-sequences
MLA “Adapting Pretrained Text-to-Text Models for Long Text Sequences.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adapting-pretrained-text-to-text-models-for-long-text-sequences.
BibTeX @misc{4ortxyz_adapting-pretrained-text-to-text-models-for-long-text-sequences_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adapting Pretrained Text-to-Text Models for Long Text Sequences}}, year = {2026}, url = {https://4ort.xyz/entity/adapting-pretrained-text-to-text-models-for-long-text-sequences}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adapting Pretrained Text-to-Text Models for Long Text Sequences — https://4ort.xyz/entity/adapting-pretrained-text-to-text-models-for-long-text-sequences (retrieved 2026-05-24)

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