Chain-of-Agents Meets Mechanism Design | by Kaushik Rajan | Jan, 2025
Synchronization of the Ill agent's agent in the long context
Recently, Google research teams are presented Chain-of-Agents (COA)A new approach that improves the way large models of languages (llms) work together in complex activities that are long. The Neurips' paper indicates that the COA has received a better 10% of the question and summarizing all nine datasets (Zhang et al. 2024). These results highlight the need to make the agent's solutions for agent Government agent that processes a large amount of information in accuracy.
Various labs in AI have tried to improve agent and efficiency of long documents but problems are still there. The agents are sometimes missing important parts of the text or make mistakes as a result of conflicting policies. The Mechanism Design field – a part of the Game Theory – provides solutions to synchronize the objectives between different decisions. When we combine the COA by specific principles such as Vickrey-Clarke-Groves (VCG) auction, build a place where each special llm agent receives rewards of accurate work.
The combination of the method of designing the basics helps the COA Mulg-agent program. Real examples include default legal reviews and the planning of the temple, where COAs are 3nts analyzing …
