MAS-Algorithm: Multi-Agent Workflow for Algorithmic Problem Solving

A recent study presents the MAS-Algorithm, a multi-agent workflow aimed at addressing challenges in algorithmic programming. This innovative system breaks down the problem-solving process into distinct modular stages, which facilitates organized reasoning, integration of tools, and adaptable coordination among agents. Drawing inspiration from competitive programmers and algorithm engineers, the framework seeks to address the shortcomings of current model-centric methods that depend on expensive architectural changes and data scaling, which often lack interpretability. In contrast, alternative strategies utilizing external tools or prompting techniques like chain-of-thought tend to be disjointed. MAS-Algorithm prioritizes rigor and extensibility, promoting generalization across various problem types. The research can be found on arXiv with the identifier 2605.05949.