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Shengding Hu

Shengding Hu is a final-year PhD student in the Department of Computer Science and Technology at Tsinghua University. His public homepage describes research on scalable pretraining, reinforcement learning, world models, large language models, and embodied agents.

Final-year PhD student at Tsinghua University working on scalable LLM pretraining, reinforcement learning, and world models.1 organizations1 reports

Profile status: updated

updated China 3 public sources

Large Language ModelsReinforcement LearningWorld ModelsEmbodied AgentsScalable Pretraining

Current frame

Final-year PhD student at Tsinghua University working on scalable LLM pretraining, reinforcement learning, and world models.

Extended note

Shengding Hu is a final-year PhD student in the Department of Computer Science and Technology at Tsinghua University, supervised by Maosong Sun and Zhiyuan Liu. His public homepage says he focuses on scalable pretraining, reinforcement learning, and world-model scaling for large language models and embodied agents, and also notes a summer 2019 research visit to Mila under Jian Tang.