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pub.towardsai.net ·
@Aqeel Abbas
你信任的每个基准可能已在训练数据中
文章指出OpenAI承认GSM-8K的训练集进入了GPT的训练数据,引发对基准测试可信度的担忧。
AI推荐理由 讨论基准测试数据污染问题,引用OpenAI承认GSM-8K进入训练数据,但来源为Medium博客,权威性一般。
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你现在信任的每个基准可能都已经在训练数据中
OpenAI承认GSM-8K的训练集进入了GPT的训练数据。一位研究人员专门用两小时前发布的考试构建了一个基准以避免这种情况。
Aqeel Abbas
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1天前
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在其自己的GPT-4技术报告中,OpenAI披露了一些值得读两遍的内容。他们已将MATH和GSM-8K(该领域引用最广泛的数学推理基准中的两个)的训练集部分直接纳入GPT-4的训练数据,专门用于提高数学推理性能[1]。
直白地读:报告基准分数的公司也在同一文档中报告说,该分数不能解释为零样本性能,因为部分答案在复习材料中。
他们还披露了另一项发现——BIG-bench基准的部分内容无意中混入了训练集,污染严重,以至于他们完全将其排除在评估之外,而不是报告一个受损的数字[1]。
同一家公司、同一份报告中披露的两种不同失败模式:故意包含以提升能力,以及通过在大块数据上训练的常规机制意外包含……
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Every Benchmark You Trust Is Probably in the Training Data by Now
OpenAI admitted GSM-8K’s training set went into GPT’s training data. A researcher built a benchmark from an exam released two hours earlier specifically to avoid this.
Aqeel Abbas
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1 day ago
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In its own GPT-4 technical report, OpenAI disclosed something worth reading twice. They’d included portions of the training sets for MATH and GSM-8K — two of the most widely cited math reasoning benchmarks in the field — directly into GPT-4’s training data, specifically to improve performance on mathematical reasoning [1].
Read that plainly: the company reporting the benchmark score also reported, in the same document, that the score can’t be interpreted as zero-shot performance, because part of the answer key was in the study materials.
They also disclosed a separate finding — that portions of the BIG-bench benchmark had been inadvertently mixed into the training set, contaminated enough that they excluded it from evaluation entirely rather than report a compromised number [1].
Two different failure modes, disclosed by the same company, in the same report: deliberate inclusion for capability gain, and accidental inclusion through the ordinary mechanics of training on a large chunk…