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SWE-Bench Pro V2 released with enhanced rigor for AI coding agents

Researchers have released SWE-Bench Pro V2, an updated benchmark designed to more accurately evaluate the capabilities of coding agents. This revised version addresses issues found in the original benchmark, such as agents exploiting loopholes or interacting with the environment in unintended ways. The update involved significant human effort, with contracted engineers spending over 400 hours to repair or retire nearly 500 tasks, ensuring the benchmark remains challenging and reliable as agent technology advances. AI

IMPACT Provides a more reliable evaluation for AI coding agents, pushing the frontier of agent capabilities.

RANK_REASON Publication of a new version of an academic benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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SWE-Bench Pro V2 released with enhanced rigor for AI coding agents

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Publication of a new version of an academic benchmark. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Soham Dan, Jeff Da, Sanyam Bhutani, Miguel Romero Calvo, Ivan Guevara, Fernando Carabedo, Jose Bernal, Julio Reyna, Luis Leandro Monsalve Mendez, Ying Liu, Daniel Yue Zhang ·

    SWE-Bench Pro V2: A Cleaner, Harder-to-Game Coding Benchmark

    arXiv:2610.24206v2 Announce Type: replace-cross Abstract: SWE-Bench Pro is a widely used benchmark of long-horizon software engineering tasks for coding agents. As agents improve, they reach task issues earlier agents never touched and interact with the evaluation environment in …