Collider-Bench measures whether agents can reproduce LHC analyses

Collider-Bench is another sign that agent evaluation is moving into hard scientific workflows. The benchmark tests whether LLM agents can reproduce experimental analyses from the Large Hadron Collider using public papers and open scientific software. Each task requires the agent to turn a published analysis into an executable simulation-and-selection pipeline and submit predicted collision-event yields for specified signal regions. This matters because scientific-agent claims are easy to overstate when evaluation stops at writing plausible prose. Reproducing physics analyses forces agents to handle instructions, code, domain assumptions, public software, and quantitative outputs. It is a better proxy for whether AI can help science teams without quietly producing invalid results.

Key details: Collider-Bench, Large Hadron Collider, LHC, particle physics, analysis reproduction, May 13, 2026.

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