FrontierPhysics: Evaluating Agents for End-to-End Physics Research

Researchers introduced FrontierPhysics, a new benchmark for evaluating AI agents on end-to-end physics research, arguing that existing physics benchmarks only test fixed questions, isolated sub-tasks, or paper reproduction with given solutions and rarely check research quality alongside correctness. The benchmark is designed to assess agents across a full research workflow rather than single-answer tasks.

AI agents are playing an increasingly important role in physics research. However, existing physics benchmarks only evaluate fixed questions, isolated sub-tasks, or paper reproduction with given solutions, and rarely check research quality alongside correctness. We introduce FrontierPhysics, an end-