Bingning Wang

Head of AI Algorithm Research for WeChat Search, Tencent; Distinguished Researcher

Wang Bingning is a Distinguished Researcher and Head of AI Algorithm Research for WeChat Search at Tencent, and formerly Head of Pretraining at Baichuan Intelligence. He earned his Ph.D. from the Institute of Automation, Chinese Academy of Sciences, with research focused on question answering systems and large language models. He previously served as a senior researcher at Sogou and Tencent, with extensive experience in large-scale generative models. He led the creation and release of several large-scale Chinese QA datasets, including ReCO, ComQA, ChiQA, and T2Ranking, as well as the Baichuan series of pre-trained models. The models he led have received over 10,000 stars on GitHub and accumulated more than 20 million downloads on Hugging Face. He has published 12 first-author papers at top international AI and NLP conferences such as ACL, SIGIR, and AAAI, and received the CIKM 2021 Best Paper Runner-Up Award. His doctoral dissertation, “Key Technologies for Machine Reading Comprehension,” won the 2019 Outstanding Doctoral Dissertation Award from the China Chinese Information Processing Society. He also serves as an Executive Committee Member of the Youth Working Committee of the China Chinese Information Processing Society.