Excited to share that our paper has been accepted to ššš š š®š¬š®š²! š
Multi-agent is everywhere today. But put frontier LLMs in a room where each holds a different piece of the puzzle, and they fail 70% of the time.
Here's why:
š Paper: arxiv.org/abs/2505.11556
Multi-agent systems built on large language models (LLMs) are expected to enhance decision-making by pooling distributed information, yet systematically evaluating this capability has remained challen...
