ResumeFlow：一个由 LLM 辅助的个性化简历生成与优化流水线
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement
AI总结：
本文提出 ResumeFlow，借助 GPT-4、Gemini 等 LLM 从职位描述和简历中抽取信息，无需微调即可快速生成岗位定制简历，并设计一致性与幻觉评估指标。
摘要：
制作理想的、针对具体职位的简历对许多求职者而言是一项具有挑战性的任务，尤其是对处于职业早期的求职者。尽管人们强烈建议求职者根据所申请的具体职位来定制简历，但手动依据职位描述和特定职位要求定制简历通常（1）极其耗时，并且（2）容易出现人为错误。此外，在申请多个职位时大规模执行这种定制步骤，可能会导致编辑后的简历质量不足。为了解决这一问题，在这篇演示论文中，我们提出了 ResumeFlow：一种由大语言模型（LLM）辅助的工具，使最终用户只需提供其详细简历和期望的职位发布信息，即可在几秒钟内获得一份专门针对该职位发布定制的个性化简历。我们提出的流水线利用 OpenAI 的 GPT-4 和 Google 的 Gemini 等最先进 LLM 的语言理解和信息抽取能力，以（1）从职位描述中抽取细节，（2）从用户提供的简历中抽取与职位相关的细节，然后（3）使用这些信息为用户优化并生成一份针对特定职位的简历。我们这一易于使用的工具以完全开箱即用的方式利用用户选择的 LLM，因此不需要微调。我们通过一个视频演示展示了该工具的有效性，并提出了新的特定任务评估指标，以控制一致性和幻觉问题。我们的工具可在 https://job-aligned-resume.streamlit.app 获取。
英文摘要：
Crafting the ideal, job-specific resume is a challenging task for many job applicants, especially for early-career applicants. While it is highly recommended that applicants tailor their resume to the specific role they are applying for, manually tailoring resumes to job descriptions and role-specific requirements is often (1) extremely time-consuming, and (2) prone to human errors. Furthermore, performing such a tailoring step at scale while applying to several roles may result in a lack of quality of the edited resumes. To tackle this problem, in this demo paper, we propose ResumeFlow: a Large Language Model (LLM) aided tool that enables an end user to simply provide their detailed resume and the desired job posting, and obtain a personalized resume specifically tailored to that specific job posting in the matter of a few seconds. Our proposed pipeline leverages the language understanding and information extraction capabilities of state-of-the-art LLMs such as OpenAI's GPT-4 and Google's Gemini, in order to (1) extract details from a job description, (2) extract role-specific details from the user-provided resume, and then (3) use these to refine and generate a role-specific resume for the user. Our easy-to-use tool leverages the user-chosen LLM in a completely off-the-shelf manner, thus requiring no fine-tuning. We demonstrate the effectiveness of our tool via a video demo and propose novel task-specific evaluation metrics to control for alignment and hallucination. Our tool is available at https://job-aligned-resume.streamlit.app.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
