Community Paper Reading - TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture

​Join our upcoming community paper reading, where we'll dive into the latest paper from Google and a team of academic researchers: "TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture."

We're excited to host one of the paper's authors — Yongchao Chen, Research Scientist — who will walk us through the research and its implications. There will be a live Q&A session, so bring your questions!

The paper proposes Tool-Use Mixture (TUMIX), an ensemble framework that runs multiple agents in parallel, each employing distinct tool-use strategies and answer paths. Agents in TUMIX iteratively share and refine responses based on the question and previous answers. In experiments, TUMIX achieves significant gains over state-of-the-art tool-augmented and test-time scaling methods.