Skip to main content
Search

# ProgramBench

2 related articles

Subscribe to updates
  1. Cohere Labs

    Coding agent teams don't need strong models everywhere: cheap planners nearly match an all-strong team

    Teams of coding agents generally beat a single agent at rebuilding programs, but at four to seven times the cost. A controlled study across 200 ProgramBench programs finds that putting cheaper models only on exploration and planning comes within 2.7 points of an all-strong-model team that delegates every stage, at roughly a fifth of that team's cost, because discovering the original program's behavior is the real bottleneck.

  2. arXiv

    Agensh: Scaling Organizational Intelligence to 1,024 Agents

    Agensh introduces a self-organized multi-agent harness without a central orchestrator, in which concurrent workers run an asynchronous cooperation loop supported by a shared workspace, a message interface, and shared context; on the five hardest ProgramBench tasks it raises the mean final test-pass rate from 19.31% with 1 agent to 28.78% with 128 agents, and on pandoc from 33.89% with 1 agent to 55.06% with 1,024 agents.

You’re all caught up