arXiv · cs.AI · Junyu Huo, Zihao Wan, Ziqi Mao, Gouri Ginde · 9 小时前模型评分44
TetraState：面向学习型世界模型的回归测试协议，单一判定不够用
One Verdict Is Not Enough: Regression Testing Learned World Models and Their Test Harnesses
导读
研究者提出 TetraState 回归测试协议，针对成对的可实现/不可实现视频测试，在四种模型原生配置下运行并给出四类结果，同时把测试框架本身纳入版本管理。
分类置信度
中 · 待人工复核
- 存在未解决的相邻类别：ai-tooling，需要人工复核。
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
事件类型：研究发布
证据摘录
- “We present TetraState, a regression-testing protocol for paired possible/impossible video tests.”
- “Each test runs under four fixed model-native configurations; its number of correct verdicts assigns one of four outcome classes.”
- “Inconclusive tests and failed executions are reported separately alongside the verdict rate.”
- “Revisions are compared by per-test outcome transitions, and the harness is versioned as part of the system under test.”
来源：arXiv · cs.AI · arxiv.org