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].