Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

Abstract: In solving multi-objective vehicle routing problems with time windows (MOVRPTW), most existing algorithms focus on the optimization of a single problem formulation. However, little effort ...

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Learn how to confidently apply Coulomb’s Law using a clear, step-by-step problem-solving method. This tutorial breaks down electric force calculations, charge interactions, units, and common mistakes, ...

In this work, we frame PDE solving as tool invocation via LLM-driven agents and introduce PDE-Agent, the first toolchain-augmented multiagent collaboration framework, inheriting the reasoning capacity ...