Liu Jiaheng is an assistant professor and Distinguished researcher at the College of Intelligent Science and Technology. His research interests include large model pre-training, post-training, model lightweight and large model evaluation. He received his PhD from Beihang University in 2023. After graduation, he was selected into the Ali school recruitment program Ali Star project and worked as a large model algorithm expert in Ali. In recent years, he has published more than 50 papers in international authoritative academic journals and conferences such as ICML, NeurIPS, ICLR, ACL, CVPR, and ICCV, including more than 20 papers in one work and correspondence, and more than 2,000 Google academic citations. He received the ACL 2024 Outstanding Paper Award. He has long served as the reviewer of IEEE TPAMI, TIP, NeurIPS, ICLR, CVPR, ICCV and other international authoritative academic journals and conferences, and the chairman of ACL ARR field, and as the organizer of the large model base seminar in the international top academic conference ICLR. As one of the core members of the big model open source organization M-A-P, open source several big model base models (general big model MAP-Neo-7B, code big model OpenCoder, music generation big model YuE, etc.) and several evaluation data sets (SuperGPQA, Chinese SimpleQA, etc.). Maintain long-term and stable academic exchanges and cooperation with large model practitioners from domestic and foreign industry and academia (Ali, Byte, Kuaishou, Shanghai Artificial Intelligence Laboratory, Chinese University of Hong Kong, Carnegie Mellon University, etc.).

Personal homepage: https://liujiaheng.github.io/