Bio

Kai Zheng is currently a research scientist at Microsoft AI. He contribute core deep models for Microsoft XiaoIce (微软小冰), Bing Search Ranking and Microsoft Copilot.
Creator of WizardLM, which contributed the state-of-the-art LLMs WizardLM, WizardCoder and WizardMath, I also created widely adopted methods Evol-Instruct.
Kai Zheng has published papers in top-tier international conferences, such as ICLR, ACL, EMNLP, KDD etc.
His research interests include large language model, reinforcement learning, multi-modal llm, dialogue systems, and information retrieval.
He received master’s degree (advisor was Houfeng Wang (王厚峰)) in Institute of Computational Linguistics from Peking University.

Hiring

WizardLM: Empowering Large Language Models to Follow Complex Instructions
Can Xu^*, Qingfeng Sun^*, Kai Zheng^*, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Daxin Jiang
ICLR 2024
Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners
Kai Zheng,Qingfeng Sun, Yaming Yang, Tengchao Lv, Yeyong Pi, changlin zhao, Fei Xu, Qi Zhang.
ACL 2023 findings.
Self-Supervised Multi-Modal Sequential Recommendation
Kunzhe Song, Qingfeng Sun, Can Xu, Kai Zheng, Yaming Yang
arXiv preprint arXiv:2304.13277
Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection
Kai Zheng, Qingfeng Sun, Yaming Yang, Fei Xu
EMNLP-2022 findings.
Multimodal Dialogue Response Generation
Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang.
ACL 2022.

ERNIE-team Baidu（百度文心）, GLUE@Top1
LTR-team Baidu, Core Search Ranking
Reco Ranking Modeling team Kuaishou, Core Recommendation Ranking, Ship models on products Kuaishou

Program Committee for