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 ...

Both agents must collaborate to push a heavy box (which can only be pushed by the force of two agents) out of the area so they can move to the next room. The second room contains a door and two ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...

Learn a step-by-step system to solve almost any circuit question, from basic resistor networks to multi-loop and node-voltage problems. This video breaks down a repeatable method—identifying ...

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 ...

Word Puzzles are engaging games that are often designed to test ability with language or to explore its properties. In Word Puzzle, languages are used in different ways, like crosswords, word searches ...