IEEE

LiP-LLM: Integrating Linear Programming and Dependency Graph With Large Language Models for Multi-Robot Task Planning

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 ...
Frontiers

Fasting glucagon as an independent risk indicator for CAD in patient with type 2 diabetes

Objective: To investigate the association between fasting glucagon levels and coronary artery disease (CAD) risk in patients with Type 2 Diabetes Mellitus (T2DM). Methods: This cross-sectional study ...
IEEE

P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs

Abstract: Generalized linear models (GLMs) are a widely utilized family of machine learning models in real-world applications. As data size increases, it is essential to perform efficient distributed ...
GitHub

Simple linear attention language models balance the recall-throughput tradeoff.

Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
Frontiers

Health information-seeking behavior in stroke patients and its relationship with Behavioral decision-making: a latent profile analysis

Objective: This study explored latent profiles of Health Information-Seeking Behavior (HISB) among stroke patients and analyzed its influencing factors. Methods: In this cross-sectional study, 311 ...