Jul 22, 2025 · The @pass deep feature is used for the arguments of passive auxiliaries. The relation between the auxiliary and the verb is marked comp:aux@pass and the subject of the auxiliary bears …

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一个简单的改进评价指标就是让 LLM 对于一个问题生成 k 次，测算其至少能通过一次的概率，称为 pass@ k 。 这样我们用不同的 k 值进行评测，就可以反应出模型输出的随机性了。

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May 21, 2025 · Reinforcement Learning (RL) algorithms sample multiple n>1 solution attempts for each problem and reward them independently. This optimizes for pass@1 performance and prioritizes the …

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Aug 11, 2024 · In this paper, we propose Top Pass, a code ranking approach that identifies potential correct solutions from a large number of candidates. Top Pass directly optimizes the pass@k loss …

We propose Top Pass, a novel approach for ranking generated code candidates based on their probabilities of correctness. By opti-mizing the pass@k loss, Top Pass effectively identifies high …

In this paper, we propose Top Pass, a code ranking approach that identifies potential correct solutions from a large number of candidates. Top Pass directly optimizes the pass@k loss function, enhancing …

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