Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...
Training large language models (LLMs) on heterogeneous data requires selecting minibatches that balance convergence speed with coverage across domains. Existing methods either select samples ...
Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...
Built upon the success of previous Vermeer mini skid steers, the ML series is the result of direct feedback from tree care, landscape, rental and construction contractors. Vermeer has announced the ...
This repository releases the official code for Mini-o3. We achieve the state-of-the-art results on various benchmarks and present a full training recipe to reproduce the OpenAI o3-style deep ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results