2 papers
cs.LG2026
Topology enables learning-based hydrodynamic prediction of the global river system
Hancheng Ren, Gang Zhao, Shuo Wang +12
Accurate river prediction is essential for water, food and energy security, yet remains challenging across entire river networks. Machine learning has transformed Earth-system mode…
cs.LG2025
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
Ziming Yu, Pan Zhou, Sike Wang +3
Fine-tuning Large Language Models (LLMs) has proven effective for a variety of downstream tasks. However, as LLMs grow in size, the memory demands for backpropagation become increa…