RECONCILE, a structured, multi-agent framework, has been developed to augment the reasoning capabilities of Large Language Models (LLMs), like ChatGPT, Bard, and Claude2, addressing their existing limitations in complex reasoning tasks. This innovative framework facilitates structured discussions among diverse LLM agents, allowing them to collaboratively generate refined solutions by contributing unique insights and reaching a consensus through confidence-weighted voting after a series of discussions. RECONCILE has shown significant efficacy with advanced models like GPT-4, enhancing its initial accuracy by an absolute 10.0% and outperforming it on various benchmarks, by leveraging diverse insights and mutual feedback.

Read more — https://news.superagi.com/2023/09/25/a-multi-agent-framework-enhances-reasoning-proficiency-in-llms/