Text generation has long been a popular research topic in NLP. However, the task of generating recruitment emails from recruiters to candidates in the job recommendation scenario has received little attention by the research community. This work aims at defining the topic of automatic email generation for job recommendation, identifying the challenges, and providing a baseline template-based solution for Danish jobs. Evaluation by human experts shows that our method is effective. We wrap up by discussing the future research directions for better solving this task.
MockLLM: A Multi-Agent Behavior Collaboration Framework for Online Job Seeking and Recruiting
Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院）；Engineering Research Center of Next-Generation Intelligent Search and Recommendation（下一代智能搜索与推荐工程研究中心）；University of Chinese Academy of Sciences（中国科学院大学）；Nanbeige Lab, BOSS Zhipin（Boss Zhipin纳米贝实验室）；King Abdullah University of Science and Technology（卡布斯科学技术大学）；School of Artificial Intelligence, Wuhan University（武汉大学人工智能学院）
Generative Job Recommendations with Large Language Model
Career Science Lab, BOSS Zhipin（BOSS直聘职业科学实验室）；University of Science and Technology of China（中国科学技术大学）；The Hong Kong University of Science and Technology（香港科技大学）
