Loading page...Загружаем страницу...正在加载页面...
AtlasRepo

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.

来源

Wrote [N] test cases that isolate the failure mode

来源

Scored each response using [exact match / rubric / programmatic check]

来源

  • 记录日期: 2026-10-02T12:40:59.864Z