ARM Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems скачать в хорошем качестве

ARM Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems

Paper: https://arxiv.org/abs/2510.05746 Title: ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems Authors: Bohan Yao, Shiva Krishna Reddy Malay, Vikas Yadav Abstract: Large Language Model (LLM)-powered Multi-agent systems (MAS) have achieved state-of-the-art results on various complex reasoning tasks. Recent works have proposed techniques to automate the design of MASes, eliminating the need for manual engineering. However, these techniques perform poorly, often achieving similar or inferior performance to simple baselines. Furthermore, they require computationally expensive re-discovery of architectures for each new task domain and expensive data annotation on domains without existing labeled validation sets. A critical insight is that simple Chain of Thought (CoT) reasoning often performs competitively with these complex systems, suggesting that the fundamental reasoning unit of MASes, CoT, warrants further investigation. To this end, we present a new paradigm for automatic MAS design that pivots the focus to optimizing CoT reasoning. We introduce the Agentic Reasoning Module (ARM), an agentic generalization of CoT where each granular reasoning step is executed by a specialized reasoning module. This module is discovered through a tree search over the code space, starting from a simple CoT module and evolved using mutations informed by reflection on execution traces. The resulting ARM acts as a versatile reasoning building block which can be utilized as a direct recursive loop or as a subroutine in a learned meta-orchestrator. Our approach significantly outperforms both manually designed MASes and state-of-the-art automatic MAS design methods. Crucially, MASes built with ARM exhibit superb generalization, maintaining high performance across different foundation models and task domains without further optimization. Tags: Machine Learning, Technology, Natural Language Processing, autonomous, reinforcement learning, gan, zero-shot, ensemble, gru, search, arm, discovering, agentic, reasoning, modules, research paper, academic, study, analysis, tutorial, explained, breakdown, paper review, research summary, AI research, scientific paper, methodology, results, findings, innovation, technology, computing, algorithm, model, dataset, evaluation, performance, accuracy, efficiency, optimization Welcome to the Mayuresh Shilotri's Youtube . Maintained by Mayuresh Shilotri You can follow me at Blog - https://shilotri.com/ LinkedIn -   / mayureshshilotri   Twitter -   / mshilotri   Note: I only claim to have read the research paper and created a Video using AI tool. I am not the author. All intellectual heavy lifting was performed by the respective authors. 🙏