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SWE-Duel: Towards a Self-Scaling Arena for Coding Agents

Static coding benchmarks are fixed at release. Over time their tasks leak into training data, and stronger agents eventually saturate them. We argue that a benchmark should instead aim to be self-scaling: its tasks and oracles are created at evaluation time, so no content exists in advance to leak, and its difficulty i...

Wei Minn, Zhensu Sun, L. K. Shar et al. · 0 citations

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