iMAD: Optimizing LLM Inference Through Multi-Agent Debate
Published:Nov 14, 2025 13:50
•1 min read
•ArXiv
Analysis
This research explores a novel approach to improving the efficiency and accuracy of LLM inference using a multi-agent debate framework. The use of debate within a multi-agent system is a promising direction for reducing computational cost and improving reliability in LLM applications.
Key Takeaways
- •iMAD employs a multi-agent debate mechanism for LLM inference.
- •The approach aims to enhance both efficiency and accuracy.
- •The research is published on ArXiv, suggesting its current stage of development.
Reference
“The article is sourced from ArXiv.”