Events
Beyond scale: efficient pre-training and controllable post-training for language models
ISTD PhD Oral Defence Seminar by Zeng Guangtao – Language models are foundational to modern artificial intelligence, but their development is often constrained by challenges in efficiency, controllability, and reasoning. In this thesis, we aim to address these limitations by introducing advanced paradigms at both the pre-training and post-training stages.
Beyond optimal methods for minimax optimisation
ESD Seminar by Chengchang Liu – This talk will introduce several novel methods that achieve even faster convergence rates or better computational complexities compared to various optimal methods by effectively incorporating curvature information and leveraging the min-max structure.
Time-sensitive AI systems for physical agents: from DNN perception to LLM planning
ESD Seminar by Neiwen Ling – Research on developing time-sensitive AI systems, focusing on Deep Neural Network (DNN)-based perception and LLM-driven planning will be presented in this talk.
Linux under the hood: powering everything from your laptop to the cloud
ISTD COIL Seminar by Norman Hsu Chen-Wei – A brief, engaging introduction to Linux as the powerful, often unseen operating system behind much of the digital world.
