Reproduce “Test-Time Compute Scales Better with Parallel Agent Teams” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Junlin Wang, Haozhe Chen, Ang Li, Rahul Chalamala, Zhuang Liu

The paper tests how dividing a fixed agent budget among collaborating teams affects verifier-scored tasks. It compares independent agents, one large team, and multiple teams of ten using Qwen3.8-27B across 12 tasks. At 100 agents, ten teams beat solo agents on 10 tasks and one large team on all four tasks with that comparison; results are expected-best estimates, not guarantees.

Summary by alphaXiv.

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.