Research Background image.png|550 Research Question The problem this paper aims to address is the minimal performance improvement of Multi-Agent Large Language Model (LLM) systems (referred to as MAS) compared to single-agent frameworks. Despite the potential of MAS in handling complex multi-step tasks and interacting with dynamic environments, their accuracy or performance improvements remain limited in … Read more
Click the blue text to follow us Recently, scholars from the University of California, Berkeley published a paper titled “Why Do Multi-Agent LLM Systems Fail?”, analyzing and summarizing the failure modes of multi-agent systems. I have tried several popular multi-agent development frameworks, and while the demo examples can run successfully, there is still a distance … Read more
Multi-Agent Large Language Model (LLM) systems can fail? Recently, the University of California, Berkeley published a significant paper titled “Why Do Multi-Agent LLM Systems Fail?” which delves into the reasons for the failures of MAS systems, outlining 14 specific failure modes and providing corresponding improvement suggestions. Below is the translation of the paper, Enjoy. Introduction … Read more
🔥 [Heartbreaking Data at the Beginning]Research shows that even top open-source multi-agent systems like ChatDev have a task accuracy rate of only 25%! Why does the theoretical “collaborative intelligence” frequently fail? We reveal the truth behind the failures using over 150 dialogue trajectories and expert annotations! The Gap Between the “Ideal and Reality” of Multi-Agent … Read more
Click below to follow, the article comes from 🙋♂️ Friends who want to join the community can see the method at the end of the article for group communication. “ Despite the theoretical appeal of multi-agent systems, their performance in practical applications often falls short of expectations. According to research, even advanced open-source multi-agent systems … Read more