Fetching the paper…
Reading the bibliography…
Online recruitment platforms have reshaped job-seeking and recruiting processes, driving increased demand for applications that enhance person-job matching.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 1901
Earlier work this paper cites.
Matching people and jobs: A bilateral recommendation approach. In Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS’06) , Vol. 6. IEEE, 137c–137c
Jochen Malinowski, Tobias Keim, Oliver Wendt, and Tim Weitzel. 2006 · 2006
Earlier work this paper cites.
BPR: Bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012 · 2012
Earlier work this paper cites.
Finding the best job applicants for a job posting: A comparison of human resources search strategies. In 2017 IEEE International Conference on Data Mining Workshops (ICDMW) . IEEE, 189–194
Christopher G Harris. 2017 · 2017
Earlier work this paper cites.
Neural collaborative filtering. In Proceedings of the 26th international conference on world wide web . 173–182
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. 2017 · 2017
Earlier work this paper cites.
Enhancing person-job fit for talent recruitment: An ability-aware neural network approach. In The 41st international ACM SIGIR conference on research & development in information retrieval . 25–34
Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, and Hui Xiong. 2018 · 2018
Earlier work this paper cites.
A joint learning approach to intelligent job interview assessment.. In IJCAI , Vol. 18. 3542–3548
Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, and Hui Xiong. 2018 · 2018
Earlier work this paper cites.
Person-job fit: Adapting the right talent for the right job with joint representation learning
Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, and Pan Li. 2018a · 2018
Earlier work this paper cites.
Person-job fit: Adapting the right talent for the right job with joint representation learning
Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, and Pan Li. 2018b · 2018
Earlier work this paper cites.
Towards effective and interpretable person-job fitting. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management . 1883–1892
Ran Le, Wenpeng Hu, Yang Song, Tao Zhang, Dongyan Zhao, and Rui Yan. 2019 · 2019
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Earlier work this paper cites.
Interview choice reveals your preference on the market: To improve job-resume matching through profiling memories. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining . 914–922
Rui Yan, Ran Le, Yang Song, Tao Zhang, Xiangliang Zhang, and Dongyan Zhao. 2019 · 2019
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Earlier work this paper cites.
Reason first, then respond: Modular generation for knowledge-infused dialogue
Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, and Jason Weston. 2021 · 2021
Cited alongside, same era.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Cited alongside, same era.
A revisiting study of appropriate offline evaluation for top-N recommendation algorithms
NanBeiGe LLM
NanBeiGe LLM Lab. 2023 · 2023
Later among the works it cites.
Camel: Communicative agents for" mind" exploration of large scale language model society
Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. 2023b · 2023
Later among the works it cites.
Yubo Ma, Yixin Cao, YongChing Hong, and Aixin Sun. 2023 · 2023
Later among the works it cites.
Self-refine: Iterative refinement with self-feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, et al · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, and Ji-Rong Wen. 2022b · 2022
Cited alongside, same era.
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, et al · 2022
Cited alongside, same era.
Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
Cited alongside, same era.
Autoagents: A framework for automatic agent generation
Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje F Karlsson, Jie Fu, and Yemin Shi. 2023a · 2023
Cited alongside, same era.
Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, et al · 2023
Cited alongside, same era.
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
Yung-Sung Chuang, Wei Fang, Shang-Wen Li, Wen-tau Yih, and James Glass. 2023 · 2023
Cited alongside, same era.
Metagpt: Meta programming for multi-agent collaborative framework
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al · 2023
Cited alongside, same era.
Efficient Memory Management for Large Language Model Serving with PagedAttention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Haotong Zhang, and Ion Stoica. 2023 · 2023
Cited alongside, same era.
OpenAI. 2023 · 2023
Later among the works it cites.
Is ChatGPT a general-purpose natural language processing task solver?
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang. 2023 · 2023
Later among the works it cites.
Character-llm: A trainable agent for role-playing
Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. 2023 · 2023
Later among the works it cites.
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao. 2023 · 2023
Later among the works it cites.
Rolellm: Benchmarking, eliciting, and enhancing role-playing abilities of large language models
Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, et al · 2023
Later among the works it cites.
How does work autonomy in human-robot collaboration affect hotel employees’ work and health outcomes? Role of job insecurity and person-job fit
Jia-Min Li, Ruo-Xi Zhang, Tung-Ju Wu, and Mengyu Mao. 2024 · 2024
Closest in time.
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering. In Proceedings of the ACM on Web Conference 2024 . 4372–4382
Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, and Rui Yan. 2024a · 2024
Closest in time.
MobileSteward: Integrating Multiple App-Oriented Agents with Self-Evolution to Automate Cross-App Instructions. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 1 . 883–893
Yuxuan Liu, Hongda Sun, Wei Liu, Jian Luan, Bo Du, and Rui Yan. 2025 · 2025
Closest in time.