arXiv cs.AI· 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·· 1 天前AI 评分55
SWE-Bench Pro V2 发布：更干净、更难刷分的编码基准
SWE-Bench Pro V2: A Cleaner, Harder-to-Game Coding Benchmark
AI 导读
SWE-Bench Pro V2 发布，修复或淘汰了 731 个任务中的 480 个，并加固评测协议以限制网络访问、在干净容器中重新评分。23 名签约工程师投入 404 小时，每条修订指令由第二名工程师仅凭文本独立解题验证。在 642 个 V2 任务上，前沿智能体最高解决 99.4%，51 个任务的 Hard 子集得分区间为 52.9% 至 98.0%。
正文 · 原文
Authors: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
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 ways the original harness did not anticipate. We present SWE-Bench Pro V2, a revised public split built to keep the benchmark accurate as capabilities advance. Agentic audits, expert adjudication and blind re-implementation repaired or retired 480 of the 731 tasks: 23 contracted engineers spent 404 hours, each working in a language they write professionally, and every revised instruction was verified by a second engineer solving the task from the text alone. A hardened protocol restricts network access to the model endpoint and re-grades every patch in a clean container, so agents cannot retrieve upstream fixes or get credit for changes outside their patch. On the 642 V2 tasks frontier agents resolve up to 99.4% while other systems stay clearly separated, and a 51-task Hard split spreads systems from 52.9% to 98.0%. We release the benchmark and distill lessons for maintaining agent benchmarks over time.
| Comments: | Dataset: this https URL |
| Subjects: | Software Engineering (cs.SE); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.24206 [cs.SE] |
| (or arXiv:2610.24206v2 [cs.SE] for this version) | |
| https://doi.org/10.48550/arXiv.2610.24206 arXiv-issued DOI via DataCite |
Submission history
From: Soham Dan [view email]
[v1]
Fri, 16 Oct 2026 20:26:37 UTC (104 KB)
[v2]
Wed, 11 Nov 2026 02:55:51 UTC (100 KB)
来源：arXiv cs.AI · arxiv.org