Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems

arXiv:2603.21475 · cs.AI · Submitted 2026-03-23 · Read on arXiv

cs.AI

Submitted: 2026-03-23

Updated: 2026-08-31

Code: https://github.com/linhh29/UnifiedMAS

Terminology

• Benchmark — 27× in this paper · explained in 2 episodes
• RAG — 21× in this paper · explained in 3 episodes
• Multi-Agent System — 13× in this paper · explained in 5 episodes
• Perplexity — 11× in this paper · explained in 3 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Verification — 10× in this paper · explained in 2 episodes
• Analyzer — 8× in this paper · explained in 1 episode
• Accuracy — 6× in this paper · explained in 1 episode
• Core — 6× in this paper · explained in 2 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Automatic Multi-Agent Systems — 4× in this paper
• Generalizability — 4× in this paper · explained in 6 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• LLM-as-a-Judge — 3× in this paper · explained in 3 episodes
• Multi-agent Collaboration — 3× in this paper · explained in 2 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Agentic System — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• Self-consistency — 2× in this paper · explained in 2 episodes
• State Management — 2× in this paper · explained in 3 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Agentic Workflows — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• American Invitational Mathematics Examination — 1× in this paper
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Ensemble Approach — 1× in this paper · explained in 3 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Automated Design of Agentic Systems
• AMA: Adaptive Memory via Multi-Agent Collaboration
• HealthBench: Evaluating Large Language Models Towards Improved Human Health
• Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environments
• A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
• A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
• MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
• MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision
• From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
• Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking
• Multi-Agent Collaboration Mechanisms: A Survey of LLMs
• Interactive Learning for LLM Reasoning
• MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems
• DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
• Rectifying LLM Thought from Lens of Optimization
• A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization
• AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
• FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline

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