Q136309718

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Q136309718

Summary

Q136309718 is a conference paper[1].

Key Facts

  • Q136309718's instance of is recorded as conference paper[2].
  • Q136309718's page is recorded as 486-492[3].
  • Q136309718's DOI is recorded as 10.1109/ICCCIS60361.2023.10425602[4].
  • Q136309718's language of work or name is recorded as English[5].
  • Q136309718's publication date is recorded as +2023-11-03T00:00:00Z[6].
  • Q136309718's official website is recorded as https://ieeexplore.ieee.org/document/10425602[7].
  • Q136309718's main subject is recorded as résumé[8].
  • Q136309718's main subject is recorded as large language model[9].
  • Q136309718's number of pages is recorded as {'unit': '1', 'amount': '+7'}[10].
  • Q136309718's published in is recorded as Q136310048[11].
  • Q136309718's title is recorded as Resume Building Application based on LLM (Large Language Model)[12].
  • Q136309718's author name string is recorded as Rafael Jace Sunico[13].
  • Q136309718's author name string is recorded as Shubh Pachchigar[14].
  • Q136309718's author name string is recorded as Vinay Kumar[15].
  • Q136309718's author name string is recorded as Ishika Shah[16].
  • Q136309718's author name string is recorded as Jingyi Wang[17].
  • Q136309718's author name string is recorded as Isabel Song[18].
  • Q136309718's cites work is recorded as Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing[19].
  • Q136309718's cites work is recorded as Chain of Thought Prompting Elicits Reasoning in Large Language Models[20].
  • Q136309718's IEEE Xplore document ID is recorded as 10425602[21].

References

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

Direct Wikidata claims

  1. [2] . Q5188229. Retrieved . wikidata.org.
  2. [3] . Q5188229. Retrieved . wikidata.org.
  3. [4] . Q5188229. Retrieved . wikidata.org.
  4. [5] . wikidata.org.
  5. [6] . Q5188229. Retrieved . wikidata.org.
  6. [7] . wikidata.org.
  7. [8] . wikidata.org.
  8. [9] . wikidata.org.
  9. [10] . wikidata.org.
  10. [11] . wikidata.org.
  11. [12] . Q5188229. Retrieved . wikidata.org.
  12. [13] . Q5188229. Retrieved . wikidata.org.
  13. [14] . Q5188229. Retrieved . wikidata.org.
  14. [15] . Q5188229. Retrieved . wikidata.org.
  15. [16] . Q5188229. Retrieved . wikidata.org.
  16. [17] . Q5188229. Retrieved . wikidata.org.
  17. [18] . Q5188229. Retrieved . 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). Q136309718. Retrieved May 7, 2026, from https://4ort.xyz/entity/q136309718
MLA “Q136309718.” 4ort.xyz Knowledge Graph, 4ort.xyz, 7 May. 2026, https://4ort.xyz/entity/q136309718.
BibTeX @misc{4ortxyz_q136309718_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Q136309718}}, year = {2026}, url = {https://4ort.xyz/entity/q136309718}, note = {Accessed: 2026-05-07}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Q136309718 — https://4ort.xyz/entity/q136309718 (retrieved 2026-05-07)

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