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Prefix-Tuning: Optimizing Continuous Prompts for Generation

conference paper published in 2021
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Prefix-Tuning: Optimizing Continuous Prompts for Generation

Summary

Prefix-Tuning: Optimizing Continuous Prompts for Generation is a conference paper[1].

Key Facts

  • Prefix-Tuning: Optimizing Continuous Prompts for Generation authored Optimizing Continuous Prompts for Generation — author (P50): Xiang Lisa Li[2].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation authored Optimizing Continuous Prompts for Generation — author (P50): Percy Liang[3].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's instance of is recorded as Optimizing Continuous Prompts for Generation — instance of (P31): conference paper[4].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's page is recorded as 4582-4597[5].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's page is recorded as 4582–4597[6].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's DOI is recorded as 10.18653/V1/2021.ACL-LONG.353[7].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's language of work or name is recorded as Optimizing Continuous Prompts for Generation — language of work or name (P407): English[8].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's publication date is recorded as +2021-08-00T00:00:00Z[9].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's official website is recorded as http://dx.doi.org/10.18653/v1/2021.acl-long.353[10].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's main subject is recorded as Optimizing Continuous Prompts for Generation — main subject (P921): prompt engineering[11].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's work available at URL is recorded as https://aclanthology.org/2021.acl-long.353.pdf[12].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's work available at URL is recorded as https://aclanthology.org/2021.acl-long.353[13].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's number of pages is recorded as {'unit': '1', 'amount': '+16'}[14].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's published in is recorded as Optimizing Continuous Prompts for Generation — published in (P1433): Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)[15].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's title is recorded as Prefix-Tuning: Optimizing Continuous Prompts for Generation[16].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's author name string is recorded as Xiang Lisa Li[17].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's author name string is recorded as Percy Liang[18].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's describes a project that uses is recorded as Optimizing Continuous Prompts for Generation — describes a project that uses (P4510): GPT-2[19].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's describes a project that uses is recorded as Optimizing Continuous Prompts for Generation — describes a project that uses (P4510): BART[20].
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation's ACL Anthology article ID is recorded as 2021.acl-long.353[21].

Body

Designation and Status

Prefix-Tuning: Optimizing Continuous Prompts for Generation's instance of is recorded as Optimizing Continuous Prompts for Generation — instance of (P31): conference paper[4].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [4] ↑ . Q5188229. Retrieved . wikidata.org.
  2. [2] ↑ . Q5188229. Retrieved . wikidata.org.
  3. [3] ↑ . Q5188229. Retrieved . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . Q5188229. Retrieved . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . Q5188229. Retrieved . wikidata.org.
  9. [10] ↑ . Q5188229. Retrieved . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . Q5188229. Retrieved . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.
  20. [21] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). Prefix-Tuning: Optimizing Continuous Prompts for Generation. Retrieved May 3, 2026, from https://4ort.xyz/entity/prefix-tuning-optimizing-continuous-prompts-for-generation
MLA “Prefix-Tuning: Optimizing Continuous Prompts for Generation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/prefix-tuning-optimizing-continuous-prompts-for-generation.
BibTeX @misc{4ortxyz_prefix-tuning-optimizing-continuous-prompts-for-generation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prefix-Tuning: Optimizing Continuous Prompts for Generation}}, year = {2026}, url = {https://4ort.xyz/entity/prefix-tuning-optimizing-continuous-prompts-for-generation}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prefix-Tuning: Optimizing Continuous Prompts for Generation — https://4ort.xyz/entity/prefix-tuning-optimizing-continuous-prompts-for-generation (retrieved 2026-05-03)

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