Beyond Solo and Consistency: Vindicating Multi-Agent Debate via Conditional Progressive Pruning

arXiv:2609.33974 · cs.CL · Submitted 2026-09-27 · Read on arXiv

cs.CL

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Consistency — 61× in this paper · explained in 3 episodes
• Accuracy — 50× in this paper · explained in 1 episode
• Pruning — 28× in this paper · explained in 4 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Reinforcement Learning — 9× in this paper · explained in 4 episodes
• Multi-Agent Debate — 7× in this paper
• Conditional Progressive Pruning — 5× in this paper
• Large Language Model — 5× in this paper
• Sparsity — 5× in this paper · explained in 4 episodes
• Multi-Agent System — 4× in this paper · explained in 6 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Multi-agent Collaboration — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adversarial Robustness — 2× in this paper · explained in 3 episodes
• Cooperation — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Two-stage training — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Elias — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Gated Linear Unit — 1× in this paper
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Task Planning — 1× in this paper · explained in 2 episodes

Sources

• Improving Factuality and Reasoning in Language Models through Multiagent Debate
• Measuring Mathematical Problem Solving With the MATH Dataset
• More Agents Is All You Need
• Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
• GPQA: A Graduate-Level Google-Proof Q&A Benchmark
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• Qwen3 Technical Report
• MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
• MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
• G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
• Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
• Progressive-Hint Prompting Improves Reasoning in Large Language Models
• Language Agents as Optimizable Graphs

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