AI-assisted 3D creation tools are streamlining workflows across gaming, architecture, product design, and engineering, replacing multi-step manual processes with integrated, faster pipelines.
Popular Reinforcement Fine-Tuning (RFT) methods, e.g., Group Relative Policy Optimization (GRPO), are limited by data preparation bottlenecks (e.g., noise or high cost) and exhibit unstable ...
As large language models (LLMs) scale in size and capability, the choice of pretraining data remains a critical determinant of downstream performance. Most LLMs are trained on large, web-scale ...
Beck, A. (2017) First-Order Methods in Optimization. Society for Industrial and Applied Mathematics.
ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
Linear solvers are major computational bottlenecks in a wide range of decision support and optimization computations. The challenges become even more pronounced on heterogeneous hardware, where ...
Abstract: Collision-free robot motion planning is crucial in robotic applications. Traditional sampling-based methods struggle with kinematic/dynamic constraints and intermediate process constraints, ...
Designing autonomous agents that can navigate complex web environments raises many challenges, in particular when such agents incorporate both textual and visual information. More classically, agents ...
Recent advancements in quantum computing and quantum-inspired algorithms have sparked renewed interest in binary optimization. These hardware and software innovations promise to revolutionize solution ...
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