Abstract: This letter explores intelligent scheduling of sensor-to-controller communication in networked control systems, particularly when data transmission incurs a cost. While the optimal ...
MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for ...
MiniMax Unveils M2.1 to Bring Multilingual Programming Gains to Open AI Models Your email has been sent Chinese AI startup’s release is a major update to its open-source model series, aimed at ...
Small language models excel in efficiency, deployability, and cost-effectiveness, despite their parameter size. Modern SLMs support reasoning, instruction-following, and multimodal tasks for ...
Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
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