I Tried to Measure That One Weird Failure Mode in [LLMs / Agents]
说明与用途
作者构建了一个基准,用于衡量大型语言模型中特定错误模式的频率和条件,从而评估模型性能。
问题
The author observed a recurring failure mode in large language models or agents during multi-step reasoning, code generation, or tool use, where the model confidently skips a step yet the final answer appears correct.
结果
The benchmark enabled measurement of pass rates per model, revealing surprising differences and insights into the failure mode.
工作流
- Designed test cases targeting the failure mode
- Defined objective scoring rules for failures
- Created a dataset of test cases
- Implemented tooling (e.g., Python scripts) to run tests
- Ran tests across selected models
- Scored responses using exact match or rubric
- Repeated runs to assess variance
证据
I decided to build a benchmark for it.
Wrote [N] test cases that isolate the failure mode
Scored each response using [exact match / rubric / programmatic check]
- 记录日期: 2026-10-02T12:40:59.864Z