Self-Adapting Group of Experts for Multi-Agent Reasoning

arXiv:2609.35412 · cs.AI, cs.CL, cs.MA · Submitted 2026-09-28 · Read on arXiv

cs.AI, cs.CL, cs.MA

Submitted: 2026-09-28

Updated: 2026-09-28

Project page: https://www.atifquamar.com/sage-page

Terminology

• Benchmark — 33× in this paper · explained in 2 episodes
• Consistency — 29× in this paper · explained in 3 episodes
• Accuracy — 25× in this paper · explained in 1 episode
• Adaptation — 17× in this paper · explained in 1 episode
• Multi-Agent System — 10× in this paper · explained in 6 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Self-Adapting Group of Experts — 4× in this paper
• Verification — 4× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Training-Free Framework — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Self-consistency — 2× in this paper · explained in 2 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Topological Order — 1× in this paper · explained in 2 episodes

Sources

• Qwen2.5-VL Technical Report
• AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
• Training Verifiers to Solve Math Word Problems
• The Llama 3 Herd of Models
• MOC: Multi-Order Communication in LLM-based Multi-Agent Systems
• Measuring Mathematical Problem Solving With the MATH Dataset
• MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
• Reliable Chain-of-Thought via Prefix Consistency
• CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
• Ministral 3
• MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
• GPT-4 Technical Report
• Scaling Large Language Model-based Multi-Agent Collaboration
• Qwen2.5 Technical Report
• Stochastic Self-Organization in Multi-Agent Systems
• Multi-Agent Debate with Memory Masking
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
• MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
• Large Language Models Are Human-Level Prompt Engineers

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