Q136309934

Summary

Q136309934 is a conference paper^[1].

Key Facts

• Q136309934's instance of is recorded as conference paper^[2].
• Q136309934's page is recorded as 19-26^[3].
• Q136309934's language of work or name is recorded as English^[4].
• Q136309934 was released on +2024-07-15T00:00:00Z^[5].
• Q136309934's official website is recorded as https://ieeexplore.ieee.org/document/10730472^[6].
• Q136309934's main subject is résumé^[7].
• Q136309934's main subject is Llama 2^[8].
• Q136309934's published in is recorded as Q136311097^[9].
• Q136309934's title is recorded as Resume Content Generation Using Llama 2 with Adapters^[10].
• Q136309934's author name string is recorded as Navaneeth Sai Nidadavolu^[11].
• Q136309934's author name string is recorded as William B Andreopoulos^[12].
• Q136309934's cites work is recorded as Q136311143^[13].
• Q136309934's cites work is recorded as Language Models are Few-Shot Learners^[14].
• Q136309934's cites work is recorded as LoRA: Low-Rank Adaptation of Large Language Models^[15].

Body

Definition and Type

Q136309934's instance of is recorded as conference paper^[2].